Delta F.A.R.M. project data management

Workflow

The data pipeline for the delta farm project was starting to become convoluted. It felt prudent to outline it somewhere so i decided to give it a shot in Rmarkdown. ;) Thanks Andrew.
The work consists of four principal steps.

• Read In
• Quality Assurance
• Visualization
• Analysis

The later steps may well be beyond the scope of this document. As such, i will reserve those for a later date.
First we will call on our libraries to carry out subsequent functions.

library(lubridate)
library(tidyverse)
library(ggpubr)
library(zoo)
library(scales)
library(gridExtra)
library(grid)
library(mosaic)
library(knitr)
library(kableExtra)
library(mice)
library(patchwork)

Now we are ready to read in our data set which is stored as a csv. This data set includes, inbedded in it, the QAQC checks carried out for sample analysis as well as sampling trip quality objectives outlined in the project QAPP.

1 Read In

So, lets give that csv a look.

dat <- read.csv("DF_final.csv",
                stringsAsFactors = FALSE,
                na.strings = c("", "NA") 
) %>% 
mutate( 
    Date = lubridate::mdy(Date),
    sampleid = as.factor(sampleid),
    farm = as.factor(farm),
    treatment = as.factor(treatment),
    TUR_ntu = as.numeric(TUR_ntu),      
    sample_type = as.factor(sample_type)
  )

We pipe the data set to mutate so R will be sure to read the variables like we want them. This is the first touch of housekeeping.
Now that we have a dataframe, what does it look like?

str(dat)

## 'data.frame':    488 obs. of  43 variables:
##  $ Date               : Date, format: "2018-02-05" "2018-02-05" ...
##  $ qaqc.check         : logi  FALSE FALSE FALSE FALSE TRUE TRUE ...
##  $ sampleid           : Factor w/ 24 levels "ARR1","ARR2",..: 10 11 21 22 10 11 19 20 21 22 ...
##  $ sample_type        : Factor w/ 2 levels "EOF","INST": 1 1 1 1 1 1 1 1 1 1 ...
##  $ farm               : Factor w/ 11 levels "ARR","CAR","DCDC",..: 5 5 10 10 5 5 9 9 10 10 ...
##  $ treatment          : Factor w/ 2 levels "CCMT","FBM": 1 2 1 2 1 2 1 2 1 2 ...
##  $ initialweight_g    : num  0.0796 0.0948 0.1057 0.0985 0.0845 ...
##  $ filtered_volume_ml : int  20 50 20 20 20 20 20 20 20 20 ...
##  $ final_weight_g     : num  0.105 0.112 0.104 0.11 0.101 ...
##  $ TSS_mgl            : num  1285 340 -105 555 800 ...
##  $ TUR_ntu            : num  221 302 223 434 576 2250 919 1420 1060 2370 ...
##  $ tur.std.check      : logi  FALSE FALSE FALSE FALSE TRUE TRUE ...
##  $ NO3.NO2_mgl        : num  0.891 5.59 0.759 5.47 1.4 4.97 1.8 2.94 1.56 5.61 ...
##  $ TKN_mgl            : num  1.51 0 1.85 1.01 1.08 1.1 2.43 3 0.98 0 ...
##  $ TN_mgl             : num  2.4 5.5 2.6 6.48 2.47 6.07 4.23 5.94 2.54 5.23 ...
##  $ tn.std.check       : logi  FALSE FALSE FALSE FALSE TRUE TRUE ...
##  $ TIP_mgl            : num  3.03 3.06 2.05 2.65 1.85 3.14 4.15 5.03 1.72 2.31 ...
##  $ tip.std.check      : logi  FALSE FALSE FALSE FALSE TRUE TRUE ...
##  $ NH3_mgl            : num  0.0508 -0.0208 -0.0445 0.0758 0.0655 0.0581 0.0116 0.0352 0.0903 0.0847 ...
##  $ nh3.std.check      : logi  TRUE TRUE TRUE TRUE TRUE TRUE ...
##  $ OrthoP_mgl         : num  0.205 0.115 0.00211 0.00481 0.191 0.192 0.396 0.653 0.192 0.22 ...
##  $ orthop.std.check   : logi  TRUE TRUE TRUE TRUE TRUE TRUE ...
##  $ NOx_mgl            : num  0.287 4.71 0.0272 4.65 0.416 1.42 0.121 0.551 0.17 2.55 ...
##  $ nox.std.check      : logi  FALSE FALSE FALSE FALSE FALSE FALSE ...
##  $ NO2_mgl            : num  -0.0314 -0.0257 -0.0369 -0.0342 -0.037 -0.0395 -0.0312 -0.0308 -0.0334 -0.0364 ...
##  $ no2.std.check      : logi  TRUE TRUE TRUE TRUE TRUE TRUE ...
##  $ NO3_mgl            : num  0.262 4.685 0.0022 4.625 0.391 ...
##  $ event_disch_l      : num  746149 141626 200606 345867 1901124 ...
##  $ acft_discharge     : num  0.605 0.115 0.163 0.28 1.542 ...
##  $ in_runoff_ac       : num  0.3813 0.0845 0.1366 0.1913 0.9715 ...
##  $ TSS_kg             : num  958.8 48.2 -21.1 192 1520.9 ...
##  $ TN_kg              : num  1.791 0.779 0.522 2.241 4.696 ...
##  $ TIP_kg             : num  2.261 0.433 0.411 0.917 3.517 ...
##  $ TSS_lb             : num  2113.8 106.2 -46.4 423.2 3353 ...
##  $ TN_lb              : num  3.95 1.72 1.15 4.94 10.35 ...
##  $ TIP_lb             : num  4.984 0.955 0.907 2.021 7.754 ...
##  $ TSS_lbac           : num  111.02 6.58 -3.25 24.06 176.1 ...
##  $ TN_lbac            : num  0.2073 0.1065 0.0805 0.2809 0.5437 ...
##  $ TIP_lbac           : num  0.2618 0.0592 0.0634 0.1149 0.4072 ...
##  $ dissolvedO2_mg_l   : num  NA NA NA NA NA NA NA NA NA NA ...
##  $ dissolvedO2_sat_per: num  NA NA NA NA NA NA NA NA NA NA ...
##  $ turbidity_sonde_ntu: num  NA NA NA NA NA NA NA NA NA NA ...
##  $ watertemp_c        : num  NA NA NA NA NA NA NA NA NA NA ...

Here we can see all the variables in the dataset. Though, we can see that they don’t seem to single style pattern. Lets fix that with a bit of code that will switch all the underscores to periods.

names(dat) <- gsub(
  x = names(dat), 
  pattern = "\\_", 
  replacement = "."
)

Again, lets take a look at the structure just to make sure it’s what we want.

str(dat)

## 'data.frame':    488 obs. of  43 variables:
##  $ Date               : Date, format: "2018-02-05" "2018-02-05" ...
##  $ qaqc.check         : logi  FALSE FALSE FALSE FALSE TRUE TRUE ...
##  $ sampleid           : Factor w/ 24 levels "ARR1","ARR2",..: 10 11 21 22 10 11 19 20 21 22 ...
##  $ sample.type        : Factor w/ 2 levels "EOF","INST": 1 1 1 1 1 1 1 1 1 1 ...
##  $ farm               : Factor w/ 11 levels "ARR","CAR","DCDC",..: 5 5 10 10 5 5 9 9 10 10 ...
##  $ treatment          : Factor w/ 2 levels "CCMT","FBM": 1 2 1 2 1 2 1 2 1 2 ...
##  $ initialweight.g    : num  0.0796 0.0948 0.1057 0.0985 0.0845 ...
##  $ filtered.volume.ml : int  20 50 20 20 20 20 20 20 20 20 ...
##  $ final.weight.g     : num  0.105 0.112 0.104 0.11 0.101 ...
##  $ TSS.mgl            : num  1285 340 -105 555 800 ...
##  $ TUR.ntu            : num  221 302 223 434 576 2250 919 1420 1060 2370 ...
##  $ tur.std.check      : logi  FALSE FALSE FALSE FALSE TRUE TRUE ...
##  $ NO3.NO2.mgl        : num  0.891 5.59 0.759 5.47 1.4 4.97 1.8 2.94 1.56 5.61 ...
##  $ TKN.mgl            : num  1.51 0 1.85 1.01 1.08 1.1 2.43 3 0.98 0 ...
##  $ TN.mgl             : num  2.4 5.5 2.6 6.48 2.47 6.07 4.23 5.94 2.54 5.23 ...
##  $ tn.std.check       : logi  FALSE FALSE FALSE FALSE TRUE TRUE ...
##  $ TIP.mgl            : num  3.03 3.06 2.05 2.65 1.85 3.14 4.15 5.03 1.72 2.31 ...
##  $ tip.std.check      : logi  FALSE FALSE FALSE FALSE TRUE TRUE ...
##  $ NH3.mgl            : num  0.0508 -0.0208 -0.0445 0.0758 0.0655 0.0581 0.0116 0.0352 0.0903 0.0847 ...
##  $ nh3.std.check      : logi  TRUE TRUE TRUE TRUE TRUE TRUE ...
##  $ OrthoP.mgl         : num  0.205 0.115 0.00211 0.00481 0.191 0.192 0.396 0.653 0.192 0.22 ...
##  $ orthop.std.check   : logi  TRUE TRUE TRUE TRUE TRUE TRUE ...
##  $ NOx.mgl            : num  0.287 4.71 0.0272 4.65 0.416 1.42 0.121 0.551 0.17 2.55 ...
##  $ nox.std.check      : logi  FALSE FALSE FALSE FALSE FALSE FALSE ...
##  $ NO2.mgl            : num  -0.0314 -0.0257 -0.0369 -0.0342 -0.037 -0.0395 -0.0312 -0.0308 -0.0334 -0.0364 ...
##  $ no2.std.check      : logi  TRUE TRUE TRUE TRUE TRUE TRUE ...
##  $ NO3.mgl            : num  0.262 4.685 0.0022 4.625 0.391 ...
##  $ event.disch.l      : num  746149 141626 200606 345867 1901124 ...
##  $ acft.discharge     : num  0.605 0.115 0.163 0.28 1.542 ...
##  $ in.runoff.ac       : num  0.3813 0.0845 0.1366 0.1913 0.9715 ...
##  $ TSS.kg             : num  958.8 48.2 -21.1 192 1520.9 ...
##  $ TN.kg              : num  1.791 0.779 0.522 2.241 4.696 ...
##  $ TIP.kg             : num  2.261 0.433 0.411 0.917 3.517 ...
##  $ TSS.lb             : num  2113.8 106.2 -46.4 423.2 3353 ...
##  $ TN.lb              : num  3.95 1.72 1.15 4.94 10.35 ...
##  $ TIP.lb             : num  4.984 0.955 0.907 2.021 7.754 ...
##  $ TSS.lbac           : num  111.02 6.58 -3.25 24.06 176.1 ...
##  $ TN.lbac            : num  0.2073 0.1065 0.0805 0.2809 0.5437 ...
##  $ TIP.lbac           : num  0.2618 0.0592 0.0634 0.1149 0.4072 ...
##  $ dissolvedO2.mg.l   : num  NA NA NA NA NA NA NA NA NA NA ...
##  $ dissolvedO2.sat.per: num  NA NA NA NA NA NA NA NA NA NA ...
##  $ turbidity.sonde.ntu: num  NA NA NA NA NA NA NA NA NA NA ...
##  $ watertemp.c        : num  NA NA NA NA NA NA NA NA NA NA ...

Later we will want to consider our data from a seasonal perspective given the nature of the treatment. Lets go ahead and add this variable to the data frame. I’ll assign the season with an if~else statement then tidy up so R will undertand this factor in our analysis.

dat$season <- ifelse(
  month(dat$Date) == 11 | month(dat$Date) ==  12 | month(dat$Date) == 1| 
    month(dat$Date) == 2 |  month(dat$Date) == 3 | month(dat$Date) == 4,
  "cover",
  "cash")

dat <- dat %>% 
  mutate(season = as.factor(season))

One last thing before we move on. With a scollable box we should be able to preview our dataframe.

kable(dat, "html", digits = 4) %>% 
  kable_paper() %>% 
  scroll_box(height = "600px")

Date	qaqc.check	sampleid	sample.type	farm	treatment	initialweight.g	filtered.volume.ml	final.weight.g	TSS.mgl	TUR.ntu	tur.std.check	NO3.NO2.mgl	TKN.mgl	TN.mgl	tn.std.check	TIP.mgl	tip.std.check	NH3.mgl	nh3.std.check	OrthoP.mgl	orthop.std.check	NOx.mgl	nox.std.check	NO2.mgl	no2.std.check	NO3.mgl	event.disch.l	acft.discharge	in.runoff.ac	TSS.kg	TN.kg	TIP.kg	TSS.lb	TN.lb	TIP.lb	TSS.lbac	TN.lbac	TIP.lbac	dissolvedO2.mg.l	dissolvedO2.sat.per	turbidity.sonde.ntu	watertemp.c	season
2018-02-05	FALSE	MUR1	EOF	MUR	CCMT	0.0796	20	0.1053	1285.0	221.00	FALSE	0.8910	1.5100	2.400	FALSE	3.030	FALSE	0.0508	TRUE	0.2050	TRUE	0.2870	FALSE	-0.0314	TRUE	0.2620	746149.200	0.6050	0.3813	958.8017	1.7908	2.2608	2113.7743	3.9479	4.9842	111.0176	0.2073	0.2618	NA	NA	NA	NA	cover
2018-02-05	FALSE	MUR2	EOF	MUR	FBM	0.0948	50	0.1118	340.0	302.00	FALSE	5.5900	0.0000	5.500	FALSE	3.060	FALSE	-0.0208	TRUE	0.1150	TRUE	4.7100	FALSE	-0.0257	TRUE	4.6850	141626.200	0.1148	0.0845	48.1529	0.7789	0.4334	106.1579	1.7173	0.9554	6.5814	0.1065	0.0592	NA	NA	NA	NA	cover
2018-02-05	FALSE	SIM1	EOF	SIM	CCMT	0.1057	20	0.1036	-105.0	223.00	FALSE	0.7590	1.8500	2.600	FALSE	2.050	FALSE	-0.0445	TRUE	0.0021	TRUE	0.0272	FALSE	-0.0369	TRUE	0.0022	200605.800	0.1627	0.1366	-21.0636	0.5216	0.4112	-46.4368	1.1499	0.9066	-3.2496	0.0805	0.0634	NA	NA	NA	NA	cover
2018-02-05	FALSE	SIM2	EOF	SIM	FBM	0.0985	20	0.1096	555.0	434.00	FALSE	5.4700	1.0100	6.480	FALSE	2.650	FALSE	0.0758	TRUE	0.0048	TRUE	4.6500	FALSE	-0.0342	TRUE	4.6250	345866.700	0.2804	0.1913	191.9560	2.2412	0.9165	423.1862	4.9410	2.0206	24.0583	0.2809	0.1149	NA	NA	NA	NA	cover
2018-02-07	TRUE	MUR1	EOF	MUR	CCMT	0.0845	20	0.1005	800.0	576.00	TRUE	1.4000	1.0800	2.470	TRUE	1.850	TRUE	0.0655	TRUE	0.1910	TRUE	0.4160	FALSE	-0.0370	TRUE	0.3910	1901124.000	1.5415	0.9715	1520.8992	4.6958	3.5171	3352.9744	10.3523	7.7538	176.1016	0.5437	0.4072	NA	NA	NA	NA	cover
2018-02-07	TRUE	MUR2	EOF	MUR	FBM	0.1092	20	0.1157	325.0	2250.00	TRUE	4.9700	1.1000	6.070	TRUE	3.140	TRUE	0.0581	TRUE	0.1920	TRUE	1.4200	FALSE	-0.0395	TRUE	1.3950	5352589.000	4.3401	3.1932	1739.5914	32.4902	16.8071	3835.1033	71.6279	37.0530	237.7621	4.4407	2.2971	NA	NA	NA	NA	cover
2018-02-07	TRUE	SCH1	EOF	SCH	CCMT	0.0785	20	0.1130	1725.0	919.00	TRUE	1.8000	2.4300	4.230	TRUE	4.150	TRUE	0.0116	TRUE	0.3960	TRUE	0.1210	FALSE	-0.0312	TRUE	0.0960	1279235.000	1.0373	1.1991	2206.6804	5.4112	5.3088	4864.8476	11.9295	11.7038	468.6751	1.1493	1.1275	NA	NA	NA	NA	cover
2018-02-07	TRUE	SCH2	EOF	SCH	FBM	0.1054	20	0.1209	775.0	1420.00	TRUE	2.9400	3.0000	5.940	TRUE	5.030	TRUE	0.0352	TRUE	0.6530	TRUE	0.5510	FALSE	-0.0308	TRUE	0.5260	1532954.000	1.2430	1.6355	1188.0394	9.1057	7.7108	2619.1516	20.0745	16.9991	287.1877	2.2012	1.8639	NA	NA	NA	NA	cover
2018-02-07	TRUE	SIM1	EOF	SIM	CCMT	0.0808	20	0.1226	2090.0	1060.00	TRUE	1.5600	0.9800	2.540	TRUE	1.720	TRUE	0.0903	TRUE	0.1920	TRUE	0.1700	FALSE	-0.0334	TRUE	0.1450	67448.230	0.0547	0.0459	140.9668	0.1713	0.1160	310.7754	0.3777	0.2558	21.7478	0.0264	0.0179	NA	NA	NA	NA	cover
2018-02-07	TRUE	SIM2	EOF	SIM	FBM	0.0949	20	0.1165	1080.0	2370.00	TRUE	5.6100	0.0000	5.230	FALSE	2.310	TRUE	0.0847	TRUE	0.2200	TRUE	2.5500	FALSE	-0.0364	TRUE	2.5250	1620000.000	1.3136	0.8961	1749.6000	8.4726	3.7422	3857.1682	18.6787	8.2501	219.2819	1.0619	0.4690	NA	NA	NA	NA	cover
2018-02-12	TRUE	MUR1	EOF	MUR	CCMT	0.0930	50	0.1164	468.0	189.00	TRUE	1.0100	1.5600	2.570	FALSE	1.490	TRUE	0.0318	TRUE	0.1530	TRUE	0.4980	FALSE	-0.0328	TRUE	0.4730	983345.300	0.7973	0.5025	460.2056	2.5272	1.4652	1014.5693	5.5715	3.2301	53.2862	0.2926	0.1697	NA	NA	NA	NA	cover
2018-02-12	TRUE	MUR2	EOF	MUR	FBM	0.0962	50	0.1248	572.0	163.00	TRUE	3.3100	0.6080	3.920	FALSE	1.370	TRUE	0.0741	TRUE	0.1270	TRUE	2.6600	FALSE	-0.0291	TRUE	2.6350	613716.500	0.4976	0.3661	351.0458	2.4058	0.8408	773.9157	5.3038	1.8536	47.9799	0.3288	0.1149	NA	NA	NA	NA	cover
2018-02-12	TRUE	SIM1	EOF	SIM	CCMT	0.0933	50	0.1135	404.0	106.00	TRUE	0.5250	0.9110	1.440	FALSE	1.040	TRUE	0.1240	TRUE	0.0319	TRUE	0.2110	FALSE	-0.0326	TRUE	0.1860	811739.000	0.6582	0.5527	327.9426	1.1689	0.8442	722.9822	2.5770	1.8611	50.5936	0.1803	0.1302	NA	NA	NA	NA	cover
2018-02-12	TRUE	SIM2	EOF	SIM	FBM	0.1100	50	0.1338	476.0	130.00	TRUE	2.2700	0.5780	2.850	FALSE	1.550	TRUE	0.0661	TRUE	0.0241	TRUE	1.7900	FALSE	-0.0329	TRUE	1.7650	3432976.000	2.7836	1.8990	1634.0966	9.7840	5.3211	3602.5293	21.5698	11.7309	204.8055	1.2263	0.6669	NA	NA	NA	NA	cover
2018-02-13	TRUE	MUZ1	EOF	MUZ	CCMT	0.0923	50	0.1084	322.0	461.00	TRUE	1.8360	0.8350	1.670	FALSE	2.330	TRUE	-0.0475	TRUE	0.1040	TRUE	0.0730	FALSE	-0.0322	TRUE	0.0480	1664368.000	1.3495	0.8395	535.9265	2.7795	3.8780	1181.5036	6.1277	8.5494	61.2495	0.3177	0.4432	NA	NA	NA	NA	cover
2018-02-13	TRUE	PRE1	EOF	PRE	CCMT	0.0922	20	0.2592	8350.0	9510.00	TRUE	7.2000	-0.2900	6.910	FALSE	18.500	TRUE	0.0657	TRUE	0.0899	TRUE	0.9080	FALSE	-0.0303	TRUE	0.8830	397023.252	0.3219	0.1055	3315.1442	2.7434	7.3449	7308.5668	6.0482	16.1926	199.5786	0.1652	0.4422	NA	NA	NA	NA	cover
2018-02-13	TRUE	SCH1	EOF	SCH	CCMT	0.0969	50	0.1077	216.0	233.00	TRUE	0.8320	0.9580	1.790	FALSE	2.680	TRUE	0.0758	TRUE	0.4630	TRUE	0.0524	FALSE	-0.0312	TRUE	0.0274	2064556.000	1.6740	1.9353	445.9441	3.6956	5.5330	983.1284	8.1472	12.1981	94.7137	0.7849	1.1752	NA	NA	NA	NA	cover
2018-02-13	TRUE	SCH2	EOF	SCH	FBM	0.0907	50	0.6513	11212.0	706.00	TRUE	1.5800	1.1600	2.740	FALSE	5.280	TRUE	-0.1050	TRUE	0.7020	TRUE	0.2380	FALSE	-0.0268	TRUE	0.2130	935819.200	0.7588	0.9984	10492.4049	2.5641	4.9411	23131.5558	5.6529	10.8932	2536.3548	0.6198	1.1944	NA	NA	NA	NA	cover
2018-02-15	FALSE	MUZ1	EOF	MUZ	CCMT	0.0913	50	0.1049	272.0	351.57	FALSE	0.5050	0.5670	1.070	FALSE	0.194	FALSE	0.1270	TRUE	0.2020	TRUE	0.0201	TRUE	-0.0435	TRUE	-0.0049	45914.370	0.0372	0.0232	12.4887	0.0491	0.0089	27.5326	0.1083	0.0196	1.4273	0.0056	0.0010	NA	NA	NA	NA	cover
2018-02-15	FALSE	PRE1	EOF	PRE	CCMT	0.0958	50	0.1776	1636.0	2058.10	FALSE	0.9440	1.3500	2.300	FALSE	3.610	FALSE	0.2150	TRUE	0.1700	TRUE	0.1870	TRUE	-0.0327	TRUE	0.1620	1014118.880	0.8223	0.2695	1659.0985	2.3325	3.6610	3657.6485	5.1422	8.0710	99.8812	0.1404	0.2204	NA	NA	NA	NA	cover
2018-02-15	FALSE	PRE2	EOF	PRE	FBM	0.0946	50	0.1539	1186.0	1162.30	FALSE	1.1900	1.2500	2.440	FALSE	4.930	FALSE	0.0250	TRUE	0.3250	TRUE	0.3340	TRUE	-0.0394	TRUE	0.3090	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	cover
2018-02-15	FALSE	SCH1	EOF	SCH	CCMT	0.1016	50	0.1033	34.0	339.12	FALSE	0.5830	1.4600	2.040	FALSE	2.130	FALSE	-0.0001	TRUE	0.6510	TRUE	0.0359	TRUE	-0.0477	TRUE	0.0109	1100470.000	0.8923	1.0316	37.4160	2.2450	2.3440	82.4873	4.9492	5.1676	7.9468	0.4768	0.4978	NA	NA	NA	NA	cover
2018-02-15	FALSE	SIM1	EOF	SIM	CCMT	0.0943	50	0.1024	162.0	133.98	FALSE	0.3510	0.7440	1.090	FALSE	0.050	FALSE	0.1830	TRUE	0.2620	TRUE	0.0035	TRUE	-0.0456	TRUE	-0.0215	7373.799	0.0060	0.0050	1.1946	0.0080	0.0004	2.6335	0.0177	0.0008	0.1843	0.0012	0.0001	NA	NA	NA	NA	cover
2018-02-15	FALSE	SIM2	EOF	SIM	FBM	0.0940	50	0.1650	1420.0	3661.00	FALSE	1.3600	0.9990	2.350	FALSE	3.080	FALSE	0.0007	TRUE	0.1280	TRUE	0.4120	TRUE	-0.0390	TRUE	0.3870	25620.490	0.0208	0.0142	36.3811	0.0602	0.0789	80.2058	0.1327	0.1740	4.5597	0.0075	0.0099	NA	NA	NA	NA	cover
2018-02-19	FALSE	MUR1	EOF	MUR	CCMT	0.0930	50	0.1094	328.0	645.42	TRUE	1.0400	1.2900	2.330	TRUE	1.910	TRUE	0.0711	TRUE	0.1730	TRUE	0.1340	FALSE	-0.0290	TRUE	0.1090	52021.280	0.0422	0.0266	17.0630	0.1212	0.0994	37.6170	0.2672	0.2191	1.9757	0.0140	0.0115	NA	NA	NA	NA	cover
2018-02-19	FALSE	MUR2	EOF	MUR	FBM	0.0912	50	0.1081	338.0	1025.20	TRUE	1.5900	0.6720	2.260	TRUE	2.950	TRUE	-0.0470	TRUE	0.1210	TRUE	0.4340	FALSE	-0.0468	TRUE	0.4090	170555.900	0.1383	0.1017	57.6479	0.3855	0.5031	127.0905	0.8498	1.1092	7.8791	0.0527	0.0688	NA	NA	NA	NA	cover
2018-02-19	FALSE	MUZ1	EOF	MUZ	CCMT	0.0935	50	0.1154	438.0	333.81	TRUE	0.8210	1.3700	2.190	TRUE	3.300	TRUE	0.0811	TRUE	0.3410	TRUE	0.0477	FALSE	-0.0501	TRUE	0.0227	133518.800	0.1083	0.0673	58.4812	0.2924	0.4406	128.9277	0.6446	0.9714	6.6837	0.0334	0.0504	NA	NA	NA	NA	cover
2018-02-19	FALSE	PRE1	EOF	PRE	CCMT	0.0933	50	0.1280	694.0	1452.40	TRUE	1.1100	1.4600	2.570	TRUE	3.300	TRUE	0.0630	TRUE	0.0986	TRUE	0.1300	FALSE	-0.0463	TRUE	0.1050	874135.206	0.7088	0.2323	606.6498	2.2465	2.8846	1337.4202	4.9527	6.3595	36.5216	0.1352	0.1737	NA	NA	NA	NA	cover
2018-02-19	FALSE	SCH1	EOF	SCH	CCMT	0.0936	50	0.1010	148.0	229.05	TRUE	0.7960	1.3900	2.150	TRUE	2.310	TRUE	0.0405	TRUE	0.1160	TRUE	0.0106	FALSE	-0.0437	TRUE	-0.0144	47746.010	0.0387	0.0448	7.0664	0.1027	0.1103	15.5786	0.2263	0.2432	1.5008	0.0218	0.0234	NA	NA	NA	NA	cover
2018-02-19	FALSE	SIM1	EOF	SIM	CCMT	0.0951	50	0.1047	192.0	464.37	TRUE	0.5760	0.7640	1.340	TRUE	0.154	TRUE	0.0418	TRUE	0.0425	TRUE	0.0215	FALSE	-0.0383	TRUE	-0.0035	45139.310	0.0366	0.0307	8.6667	0.0605	0.0070	19.1067	0.1333	0.0153	1.3371	0.0093	0.0011	NA	NA	NA	NA	cover
2018-02-19	FALSE	SIM2	EOF	SIM	FBM	0.0930	50	0.1395	930.0	914.13	TRUE	1.5600	0.2480	1.810	TRUE	1.020	TRUE	-0.0176	TRUE	-0.0066	TRUE	0.2610	FALSE	-0.0356	TRUE	0.2360	109599.000	0.0889	0.0606	101.9271	0.1984	0.1118	224.7084	0.4373	0.2465	12.7748	0.0249	0.0140	NA	NA	NA	NA	cover
2018-02-23	TRUE	MUR1	EOF	MUR	CCMT	0.0933	50	0.1409	952.0	437.00	TRUE	1.0200	2.3500	3.370	TRUE	4.260	TRUE	0.0338	TRUE	0.1580	TRUE	0.0855	FALSE	-0.0425	TRUE	0.0605	2758754.000	2.2369	1.4098	2626.3338	9.2970	11.7523	5790.0155	20.4962	25.9091	304.0975	1.0765	1.3608	NA	NA	NA	NA	cover
2018-02-23	TRUE	MUR2	EOF	MUR	FBM	0.0953	50	0.1731	1556.0	531.00	TRUE	1.1200	2.4200	3.540	TRUE	7.810	TRUE	0.0328	TRUE	0.1860	TRUE	0.2480	FALSE	-0.0397	TRUE	0.2230	2445556.300	1.9830	1.4590	3805.2856	8.6573	19.0998	8389.1326	19.0858	42.1074	520.0950	1.1832	2.6105	NA	NA	NA	NA	cover
2018-02-23	TRUE	MUZ1	EOF	MUZ	CCMT	0.0938	50	0.1074	272.0	82.60	TRUE	0.3600	0.6620	1.020	TRUE	1.570	TRUE	0.2080	TRUE	0.2200	TRUE	0.0313	FALSE	-0.0396	TRUE	0.0063	1461881.000	1.1854	0.7374	397.6316	1.4911	2.2952	876.6187	3.2873	5.0599	45.4442	0.1704	0.2623	NA	NA	NA	NA	cover
2018-02-23	TRUE	PRE1	EOF	PRE	CCMT	0.0920	20	0.2090	5850.0	3690.00	TRUE	3.6100	4.1200	7.720	TRUE	22.700	TRUE	0.0946	TRUE	0.2590	TRUE	0.4270	FALSE	-0.0395	TRUE	0.4020	261916.545	0.2124	0.0696	1532.2118	2.0220	5.9455	3377.9141	4.4577	13.1075	92.2423	0.1217	0.3579	NA	NA	NA	NA	cover
2018-02-23	TRUE	SIM1	EOF	SIM	CCMT	0.0925	50	0.1495	1140.0	314.00	TRUE	0.7680	1.1400	1.900	TRUE	3.300	TRUE	0.0343	TRUE	0.0659	TRUE	0.0606	FALSE	-0.0343	TRUE	0.0356	5315815.000	4.3103	3.6195	6060.0291	10.1000	17.5422	13359.9402	22.2666	38.6735	934.9153	1.5582	2.7063	NA	NA	NA	NA	cover
2018-02-23	TRUE	SIM2	EOF	SIM	FBM	0.0940	50	0.1626	1372.0	491.00	TRUE	0.9270	1.4900	2.410	TRUE	4.080	TRUE	-0.0054	TRUE	0.0657	TRUE	0.2390	FALSE	-0.0405	TRUE	0.2140	2764966.000	2.2419	1.5295	3793.5334	6.6636	11.2811	8363.2236	14.6905	24.8702	475.4533	0.8352	1.4139	NA	NA	NA	NA	cover
2018-02-26	TRUE	MUR1	EOF	MUR	CCMT	0.0921	50	0.1163	484.0	721.00	TRUE	0.9960	0.9010	1.900	TRUE	3.130	TRUE	0.3140	TRUE	0.8580	TRUE	0.0179	FALSE	-0.0385	TRUE	-0.0071	1136247.000	0.9213	0.5807	549.9435	2.1589	3.5565	1212.4055	4.7594	7.8406	63.6768	0.2500	0.4118	NA	NA	NA	NA	cover
2018-02-26	TRUE	MUR2	EOF	MUR	FBM	0.0924	20	0.1315	1955.0	261.00	TRUE	3.6700	1.2800	4.960	TRUE	7.830	TRUE	0.0732	TRUE	0.3010	TRUE	0.4220	FALSE	-0.0464	TRUE	0.3970	2701281.300	2.1903	1.6115	5281.0049	13.3984	21.1510	11642.5035	29.5380	46.6296	721.7919	1.8312	2.8909	NA	NA	NA	NA	cover
2018-02-26	TRUE	MUZ1	EOF	MUZ	CCMT	0.0918	50	0.1057	278.0	336.00	TRUE	0.5780	0.9310	1.510	TRUE	2.210	TRUE	0.0134	TRUE	0.2530	TRUE	0.0081	FALSE	-0.0495	TRUE	-0.0169	2113107.000	1.7134	1.0659	587.4437	3.1908	4.6700	1295.0785	7.0344	10.2954	67.1373	0.3647	0.5337	NA	NA	NA	NA	cover
2018-02-26	TRUE	PRE1	EOF	PRE	CCMT	0.0934	20	0.2575	8205.0	9900.00	TRUE	5.6000	4.5000	10.500	TRUE	21.100	TRUE	0.0287	TRUE	0.1960	TRUE	0.1370	FALSE	-0.0386	TRUE	0.1120	1943598.840	1.5759	0.5164	15947.2285	20.4078	41.0099	35157.2599	44.9910	90.4105	960.0563	1.2286	2.4689	NA	NA	NA	NA	cover
2018-02-26	TRUE	SCH1	EOF	SCH	CCMT	0.0936	50	0.1191	510.0	639.00	TRUE	0.9830	0.9200	1.900	TRUE	3.550	TRUE	0.0133	TRUE	0.5070	TRUE	0.0318	FALSE	-0.0322	TRUE	0.0068	699338.700	0.5671	0.6556	356.6627	1.3287	2.4827	786.2987	2.9293	5.4733	75.7513	0.2822	0.5273	NA	NA	NA	NA	cover
2018-02-26	TRUE	SCH2	EOF	SCH	FBM	0.0936	20	0.1083	735.0	822.00	TRUE	1.2900	2.2500	3.530	TRUE	4.670	TRUE	0.0207	TRUE	1.2800	TRUE	0.0035	FALSE	-0.0384	TRUE	-0.0215	232237.000	0.1883	0.2478	170.6942	0.8198	1.0845	376.3124	1.8073	2.3910	41.2623	0.1982	0.2622	NA	NA	NA	NA	cover
2018-02-26	TRUE	SIM1	EOF	SIM	CCMT	0.0921	20	0.1047	630.0	1020.00	TRUE	1.1100	0.4140	1.530	TRUE	2.190	TRUE	0.0659	TRUE	0.0434	TRUE	0.0667	FALSE	-0.0471	TRUE	0.0417	1605864.000	1.3021	1.0934	1011.6943	2.4570	3.5168	2230.3813	5.4166	7.7532	156.0799	0.3791	0.5426	NA	NA	NA	NA	cover
2018-02-26	TRUE	SIM2	EOF	SIM	FBM	0.0937	20	0.1305	1840.0	2450.00	TRUE	2.7900	3.1900	5.980	TRUE	4.730	TRUE	0.0142	TRUE	0.1320	TRUE	0.3360	FALSE	-0.0321	TRUE	0.3110	767818.700	0.6226	0.4247	1412.7864	4.5916	3.6318	3114.6289	10.1225	8.0066	177.0682	0.5755	0.4552	NA	NA	NA	NA	cover
2018-03-02	TRUE	MUR1	EOF	MUR	CCMT	0.0898	20	0.1993	5475.0	8940.00	TRUE	8.4500	3.3400	11.800	TRUE	19.000	TRUE	0.0814	TRUE	0.2460	TRUE	0.1940	FALSE	-0.0299	TRUE	0.1690	5068846.000	4.1100	2.5904	27751.9319	59.8124	96.3081	61181.9090	131.8624	212.3208	3213.3356	6.9255	11.1513	NA	NA	NA	NA	cover
2018-03-02	TRUE	MUR2	EOF	MUR	FBM	0.0916	20	0.1593	3385.0	4990.00	TRUE	5.0400	2.6900	7.730	TRUE	11.400	TRUE	0.0504	TRUE	0.2670	TRUE	0.1370	FALSE	-0.0520	TRUE	0.1120	4615494.000	3.7424	2.7535	15623.4472	35.6778	52.6166	34443.4517	78.6552	115.9986	2135.3659	4.8763	7.1915	NA	NA	NA	NA	cover
2018-03-02	TRUE	MUZ1	EOF	MUZ	CCMT	0.0921	50	0.1024	206.0	173.00	TRUE	0.4630	0.3180	0.781	TRUE	1.570	TRUE	0.1220	TRUE	0.2900	TRUE	0.0170	FALSE	-0.0357	TRUE	-0.0080	1562793.000	1.2672	0.7883	321.9354	1.2205	2.4536	709.7387	2.6908	5.4092	36.7931	0.1395	0.2804	NA	NA	NA	NA	cover
2018-03-02	TRUE	MUZ2	EOF	MUZ	FBM	0.0913	50	0.1130	434.0	798.00	TRUE	0.8650	0.8280	1.690	TRUE	2.880	TRUE	0.0383	TRUE	0.1750	TRUE	0.0376	FALSE	-0.0465	TRUE	0.0126	1274457.000	1.0334	0.6955	553.1143	2.1538	3.6704	1219.3959	4.7483	8.0918	68.3901	0.2663	0.4538	NA	NA	NA	NA	cover
2018-03-02	TRUE	PRE1	EOF	PRE	CCMT	0.0936	50	0.1069	266.0	299.00	TRUE	0.5970	0.4940	1.090	TRUE	1.600	TRUE	0.0538	TRUE	0.1980	TRUE	0.0232	FALSE	-0.0488	TRUE	-0.0018	705641.523	0.5722	0.1875	187.7006	0.7691	1.1290	413.8048	1.6957	2.4891	11.3000	0.0463	0.0680	NA	NA	NA	NA	cover
2018-03-02	TRUE	PRE2	EOF	PRE	FBM	0.0916	50	0.1381	930.0	1430.00	TRUE	1.7600	1.2800	3.040	TRUE	4.280	TRUE	0.0215	TRUE	0.2550	TRUE	0.0854	FALSE	-0.0453	TRUE	0.0604	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	cover
2018-03-02	TRUE	SCH1	EOF	SCH	CCMT	0.0924	50	0.1096	344.0	441.00	TRUE	0.8330	1.0100	1.840	TRUE	3.030	TRUE	0.0533	TRUE	0.4840	TRUE	0.0182	FALSE	-0.0419	TRUE	-0.0068	2527468.000	2.0494	2.3692	869.4490	4.6505	7.6582	1916.7872	10.2526	16.8833	184.6616	0.9877	1.6265	NA	NA	NA	NA	cover
2018-03-02	TRUE	SCH2	EOF	SCH	FBM	0.0916	50	0.1578	1324.0	1320.00	TRUE	1.9100	2.1200	4.020	TRUE	5.440	TRUE	0.2000	TRUE	0.9260	TRUE	0.0111	FALSE	-0.0391	TRUE	-0.0139	1594111.000	1.2926	1.7008	2110.6030	6.4083	8.6720	4653.0353	14.1278	19.1182	510.2012	1.5491	2.0963	NA	NA	NA	NA	cover
2018-03-02	TRUE	SIM1	EOF	SIM	CCMT	0.0913	50	0.0962	98.0	130.00	TRUE	0.4200	0.1920	0.612	TRUE	0.529	TRUE	0.1090	TRUE	0.0430	TRUE	0.0110	FALSE	-0.0459	TRUE	-0.0140	1174994.000	0.9527	0.8001	115.1494	0.7191	0.6216	253.8584	1.5853	1.3703	17.7648	0.1109	0.0959	NA	NA	NA	NA	cover
2018-03-02	TRUE	SIM2	EOF	SIM	FBM	0.0913	50	0.1606	1386.0	7540.00	TRUE	6.4000	2.9300	9.330	TRUE	10.200	TRUE	0.0945	TRUE	0.2010	TRUE	0.2380	FALSE	-0.0352	TRUE	0.2130	210527.800	0.1707	0.1165	291.7915	1.9642	2.1474	643.2836	4.3303	4.7341	36.5710	0.2462	0.2691	NA	NA	NA	NA	cover
2018-03-06	TRUE	MUZ1	EOF	MUZ	CCMT	0.0940	20	0.1237	1485.0	1470.00	TRUE	1.9700	3.5700	5.540	FALSE	6.320	TRUE	0.0149	FALSE	0.1000	TRUE	0.0521	TRUE	-0.0383	FALSE	0.0271	50584.000	0.0410	0.0255	75.1172	0.2802	0.3197	165.6035	0.6178	0.7048	8.5849	0.0320	0.0365	NA	NA	NA	NA	cover
2018-03-06	TRUE	MUZ2	EOF	MUZ	FBM	0.0929	20	0.1307	1890.0	3000.00	TRUE	3.0400	3.8400	6.880	FALSE	8.260	TRUE	0.0147	FALSE	0.0483	TRUE	0.0274	TRUE	-0.0419	FALSE	0.0024	488459.000	0.3961	0.2666	923.1875	3.3606	4.0347	2035.2592	7.4088	8.8948	114.1480	0.4155	0.4989	NA	NA	NA	NA	cover
2018-03-06	TRUE	PRE1	EOF	PRE	CCMT	0.0900	20	0.1632	3660.0	6300.00	TRUE	5.4700	4.0700	9.540	FALSE	11.600	TRUE	0.0027	FALSE	0.0465	TRUE	0.0817	TRUE	-0.0478	FALSE	0.0567	27692.490	0.0225	0.0074	101.3545	0.2642	0.3212	223.4462	0.5824	0.7082	6.1018	0.0159	0.0193	NA	NA	NA	NA	cover
2018-03-06	TRUE	PRE2	EOF	PRE	FBM	0.0915	20	0.1771	4280.0	8210.00	TRUE	6.0600	5.8800	11.900	FALSE	14.500	TRUE	0.0898	FALSE	0.0711	TRUE	0.1010	TRUE	-0.0510	FALSE	0.0760	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	cover
2018-03-06	TRUE	SIM2	EOF	SIM	FBM	0.0916	20	0.1376	2300.0	3880.00	TRUE	3.8000	1.8500	5.650	FALSE	5.740	TRUE	0.0519	FALSE	0.0094	TRUE	0.0936	TRUE	-0.0414	FALSE	0.0686	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	cover
2018-03-12	TRUE	MUR2	EOF	MUR	FBM	0.0925	20	0.1345	2100.0	1500.00	TRUE	2.8300	3.0000	5.830	TRUE	6.430	TRUE	0.0918	FALSE	0.1040	TRUE	0.3590	TRUE	-0.0315	FALSE	0.3340	814373.570	0.6603	0.4858	1710.1845	4.7478	5.2364	3770.2727	10.4670	11.5442	233.7429	0.6489	0.7157	NA	NA	NA	NA	cover
2018-03-12	TRUE	MUZ1	EOF	MUZ	CCMT	0.0912	20	0.1948	5180.0	3160.00	TRUE	3.1900	13.1000	16.300	TRUE	18.100	TRUE	0.0747	FALSE	0.0894	TRUE	0.0878	TRUE	-0.0448	FALSE	0.0628	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	cover
2018-03-12	TRUE	MUZ2	EOF	MUZ	FBM	0.0949	50	0.1124	350.0	115.00	TRUE	0.3890	1.4400	1.830	TRUE	1.890	TRUE	0.1100	FALSE	0.0433	TRUE	0.0654	TRUE	-0.0475	FALSE	0.0404	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	cover
2018-03-12	TRUE	SIM1	EOF	SIM	CCMT	0.0925	20	0.1782	4285.0	2100.00	TRUE	1.8100	2.8200	4.630	TRUE	4.630	TRUE	0.0348	FALSE	0.0228	TRUE	0.1490	TRUE	-0.0522	FALSE	0.1240	577852.400	0.4685	0.3935	2476.0975	2.6755	2.6755	5458.8046	5.8983	5.8983	382.0017	0.4128	0.4128	NA	NA	NA	NA	cover
2018-03-29	TRUE	MUR1	EOF	MUR	CCMT	0.0938	50	0.0966	56.0	64.20	TRUE	1.8900	56.4000	58.300	TRUE	1.060	TRUE	2.8600	FALSE	-0.0108	TRUE	0.0687	FALSE	-0.0576	FALSE	0.0437	3082688.000	2.4996	1.5754	172.6305	179.7207	3.2676	380.5813	396.2123	7.2039	19.9885	20.8095	0.3784	NA	NA	NA	NA	cover
2018-03-29	TRUE	MUR2	EOF	MUR	FBM	0.0928	20	0.2694	8830.0	6000.00	TRUE	7.9500	20.6000	28.600	TRUE	19.000	TRUE	1.2900	FALSE	0.0040	TRUE	1.9000	FALSE	-0.0495	FALSE	1.8750	1407768.000	1.1415	0.8398	12430.5914	40.2622	26.7476	27404.4819	88.7620	58.9677	1698.9759	5.5029	3.6558	NA	NA	NA	NA	cover
2018-03-29	TRUE	PRE1	EOF	PRE	CCMT	0.0933	20	0.1590	3285.0	7250.00	TRUE	7.2100	3.1500	10.400	TRUE	16.100	TRUE	0.2830	FALSE	0.0464	TRUE	0.7890	FALSE	-0.0629	FALSE	0.7640	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	cover
2018-03-29	TRUE	PRE2	EOF	PRE	FBM	0.0936	20	0.1426	2450.0	4580.00	TRUE	5.8400	1.0400	6.880	TRUE	11.400	TRUE	0.3830	FALSE	0.0610	TRUE	1.0300	FALSE	-0.0623	FALSE	1.0050	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	cover
2018-03-29	TRUE	SCH1	EOF	SCH	CCMT	0.0920	50	0.0960	80.0	72.70	TRUE	0.5940	0.6800	1.270	TRUE	1.530	TRUE	0.2140	FALSE	0.0823	TRUE	0.1100	FALSE	-0.0583	FALSE	0.0850	457618.000	0.3711	0.4290	36.6094	0.5812	0.7002	80.7092	1.2813	1.5436	7.7755	0.1234	0.1487	NA	NA	NA	NA	cover
2018-03-29	TRUE	SCH2	EOF	SCH	FBM	0.0937	50	0.0993	112.0	143.00	TRUE	0.8850	0.6780	1.560	TRUE	3.040	TRUE	0.0750	FALSE	0.2370	TRUE	0.2300	FALSE	-0.0593	FALSE	0.2050	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	cover
2018-03-29	TRUE	SIM1	EOF	SIM	CCMT	0.0928	20	0.1353	2125.0	3600.00	TRUE	3.8000	-0.0850	3.720	TRUE	5.030	TRUE	0.2950	FALSE	0.0090	TRUE	0.0081	FALSE	-0.0631	FALSE	-0.0169	68542.630	0.0556	0.0467	145.6531	0.2550	0.3448	321.1068	0.5621	0.7601	22.4707	0.0393	0.0532	NA	NA	NA	NA	cover
2018-03-29	TRUE	SIM2	EOF	SIM	FBM	0.0933	50	0.1143	420.0	785.00	TRUE	3.4800	-0.2210	3.260	TRUE	1.460	TRUE	0.0641	FALSE	-0.0060	TRUE	1.9900	FALSE	-0.0600	FALSE	1.9650	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	cover
2018-04-17	TRUE	MUR2	EOF	MUR	FBM	0.0937	20	0.1090	765.0	2231.30	TRUE	5.3600	0.9080	6.270	TRUE	2.060	TRUE	0.7960	FALSE	0.0620	TRUE	2.2800	FALSE	0.0358	FALSE	2.2550	4773919.000	3.8709	2.8480	3652.0480	29.9325	9.8343	8051.3051	65.9891	21.6806	499.1510	4.0911	1.3441	NA	NA	NA	NA	cover
2018-04-17	TRUE	MUZ2	EOF	MUZ	FBM	0.0934	20	0.0995	305.0	946.54	TRUE	1.0100	1.3700	2.380	TRUE	0.239	TRUE	0.1940	FALSE	0.0802	TRUE	0.0431	FALSE	-0.0601	FALSE	0.0181	1016568.000	0.8243	0.5548	310.0532	2.4194	0.2430	683.5434	5.3339	0.5356	38.3367	0.2992	0.0300	NA	NA	NA	NA	cover
2018-04-17	TRUE	SCH1	EOF	SCH	CCMT	0.0884	50	0.0955	142.0	146.21	TRUE	0.6070	0.9980	1.600	TRUE	1.080	TRUE	0.2470	FALSE	0.0671	TRUE	0.1090	FALSE	-0.0588	FALSE	0.0840	1346638.000	1.0919	1.2623	191.2226	2.1546	1.4544	421.5693	4.7501	3.2063	40.6136	0.4576	0.3089	NA	NA	NA	NA	cover
2018-04-17	TRUE	SIM1	EOF	SIM	CCMT	0.0934	50	0.0985	102.0	496.60	TRUE	4.1600	3.4500	7.620	TRUE	2.700	TRUE	2.5100	FALSE	0.1800	TRUE	3.1400	FALSE	0.0209	FALSE	3.1150	552394.000	0.4479	0.3761	56.3442	4.2092	1.4915	124.2164	9.2797	3.2881	8.6925	0.6494	0.2301	NA	NA	NA	NA	cover
2018-04-24	TRUE	CAR1	EOF	CAR	CCMT	0.0920	20	0.1311	1955.0	570.00	FALSE	10.4000	6.5800	17.000	TRUE	4.350	TRUE	0.8190	FALSE	-0.0167	TRUE	7.1800	FALSE	0.0083	FALSE	7.1550	8718.000	0.0071	0.0038	17.0437	0.1482	0.0379	37.5745	0.3267	0.0836	1.6804	0.0146	0.0037	NA	NA	NA	NA	cover
2018-04-24	TRUE	CAR2	EOF	CAR	FBM	0.0919	20	0.1677	3790.0	1846.00	FALSE	10.9000	5.2400	16.100	TRUE	7.340	TRUE	1.0700	FALSE	0.0566	TRUE	4.8000	FALSE	-0.0558	FALSE	4.7750	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	cover
2018-04-24	TRUE	MUR2	EOF	MUR	FBM	0.0927	20	0.1257	1650.0	1470.00	FALSE	4.3600	0.0270	4.380	TRUE	3.710	TRUE	0.3840	FALSE	0.1060	TRUE	0.7340	FALSE	-0.0340	FALSE	0.7090	52693.210	0.0427	0.0314	86.9438	0.2308	0.1955	191.6763	0.5088	0.4310	11.8832	0.0315	0.0267	NA	NA	NA	NA	cover
2018-04-24	TRUE	MUZ2	EOF	MUZ	FBM	0.0926	50	0.1255	658.0	810.00	FALSE	1.6800	1.7600	3.430	TRUE	0.525	TRUE	0.2190	FALSE	0.0657	TRUE	0.5130	FALSE	-0.0500	FALSE	0.4880	19762.000	0.0160	0.0108	13.0034	0.0678	0.0104	28.6673	0.1494	0.0229	1.6078	0.0084	0.0013	NA	NA	NA	NA	cover
2018-04-24	TRUE	SCH1	EOF	SCH	CCMT	0.0899	50	0.0945	92.0	201.00	FALSE	0.8830	1.4300	2.320	TRUE	0.129	TRUE	0.3970	FALSE	0.0990	TRUE	0.1130	FALSE	-0.0529	FALSE	0.0880	24596.000	0.0199	0.0231	2.2628	0.0571	0.0032	4.9886	0.1258	0.0070	0.4806	0.0121	0.0007	NA	NA	NA	NA	cover
2018-04-24	TRUE	SIM1	EOF	SIM	CCMT	0.0912	50	0.1124	424.0	869.00	FALSE	11.0000	2.2600	13.300	TRUE	2.260	TRUE	1.9500	FALSE	0.0522	TRUE	7.8600	FALSE	0.1040	FALSE	7.7560	77616.000	0.0629	0.0528	32.9092	1.0323	0.1754	72.5516	2.2758	0.3867	5.0771	0.1593	0.0271	NA	NA	NA	NA	cover
2018-05-18	TRUE	CAR1	EOF	CAR	CCMT	0.0941	20	0.1649	3540.0	2560.00	TRUE	24.1000	8.7000	32.800	TRUE	10.000	TRUE	4.0900	TRUE	0.0691	FALSE	10.3000	TRUE	0.2040	TRUE	10.0960	184232.000	0.1494	0.0802	652.1813	6.0428	1.8423	1437.7988	13.3220	4.0616	64.3023	0.5958	0.1816	NA	NA	NA	NA	cash
2018-05-18	TRUE	PRE1	EOF	PRE	CCMT	0.0928	20	0.2381	7265.0	8900.00	TRUE	7.8400	4.1500	12.000	TRUE	18.500	TRUE	0.7170	TRUE	0.0506	FALSE	2.2200	TRUE	-0.5100	TRUE	2.1950	2714047.000	2.2007	0.7211	19717.5515	32.5686	50.2099	43469.3139	71.8007	110.6927	1187.0375	1.9607	3.0227	NA	NA	NA	NA	cash
2018-05-18	TRUE	PRE2	EOF	PRE	FBM	0.0928	20	0.2434	7530.0	10340.00	TRUE	8.8800	3.1000	12.000	TRUE	20.600	TRUE	0.2400	TRUE	0.0769	FALSE	1.2300	TRUE	-0.5130	TRUE	1.2050	3323537.000	2.6949	0.8654	25026.2336	39.8824	68.4649	55172.8346	87.9248	150.9376	1476.3938	2.3528	4.0390	NA	NA	NA	NA	cash
2018-05-23	TRUE	MUR2	EOF	MUR	FBM	0.0913	20	0.1652	3695.0	5650.00	FALSE	9.8000	9.5300	19.300	FALSE	13.800	TRUE	2.7200	TRUE	0.0688	FALSE	5.7600	TRUE	-0.4330	TRUE	5.7350	4679.781	0.0038	0.0028	17.2918	0.0903	0.0646	38.1215	0.1991	0.1424	2.3634	0.0123	0.0088	NA	NA	NA	NA	cash
2018-05-23	TRUE	MUZ1	EOF	MUZ	CCMT	0.0960	20	0.1427	2335.0	2050.00	FALSE	3.2300	3.2400	6.460	FALSE	2.720	TRUE	0.2790	TRUE	0.0924	FALSE	1.5000	TRUE	-0.5020	TRUE	1.4750	513706.000	0.4165	0.2591	1199.5035	3.3185	1.3973	2644.4254	7.3161	3.0804	137.0879	0.3793	0.1597	NA	NA	NA	NA	cash
2018-05-23	TRUE	MUZ2	EOF	MUZ	FBM	0.0959	20	0.1426	2335.0	2780.00	FALSE	3.1500	3.3800	6.530	FALSE	7.680	TRUE	0.1340	TRUE	0.0764	FALSE	1.3200	TRUE	0.0250	TRUE	1.2950	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	cash
2018-05-23	TRUE	PRE1	EOF	PRE	CCMT	0.0934	20	0.2177	6215.0	708.00	FALSE	7.4700	1.4400	8.910	FALSE	11.600	TRUE	0.3350	TRUE	0.0854	FALSE	2.1600	TRUE	-0.5080	TRUE	2.1350	1959087.000	1.5885	0.5205	12175.7257	17.4555	22.7254	26842.6049	38.4823	50.1004	733.0040	1.0509	1.3681	NA	NA	NA	NA	cash
2018-05-23	TRUE	PRE2	EOF	PRE	FBM	0.0921	20	0.1448	2635.0	6320.00	FALSE	6.8400	1.6800	8.520	FALSE	9.800	TRUE	0.2330	TRUE	0.0870	FALSE	2.1000	TRUE	-0.5000	TRUE	2.0750	3433679.000	2.7842	0.8940	9047.7442	29.2549	33.6501	19946.6568	64.4955	74.1849	533.7612	1.7259	1.9851	NA	NA	NA	NA	cash
2018-05-23	TRUE	SCH1	EOF	SCH	CCMT	0.0918	50	0.1164	492.0	700.00	FALSE	1.9000	2.1900	4.080	FALSE	5.070	TRUE	0.6010	TRUE	0.4630	FALSE	0.2480	TRUE	-0.5150	TRUE	0.2230	477598.100	0.3873	0.4477	234.9783	1.9486	2.4214	518.0331	4.2959	5.3383	49.9068	0.4139	0.5143	NA	NA	NA	NA	cash
2018-05-23	TRUE	SCH2	EOF	SCH	FBM	0.0942	50	0.1175	466.0	563.00	FALSE	4.2900	1.1100	5.400	FALSE	4.380	TRUE	2.7100	TRUE	0.3030	FALSE	4.5700	TRUE	-0.5140	TRUE	4.5450	433455.000	0.3515	0.4625	201.9900	2.3407	1.8985	445.3072	5.1602	4.1855	48.8275	0.5658	0.4589	NA	NA	NA	NA	cash
2018-05-30	TRUE	CAR1	EOF	CAR	CCMT	0.0924	30	0.2392	4893.3	3330.00	TRUE	5.1300	2.1300	7.260	TRUE	49.500	TRUE	3.4500	TRUE	0.1240	TRUE	6.8100	FALSE	-0.0377	TRUE	6.7850	401364.000	0.3254	0.1747	1964.0078	2.9139	19.8675	4329.8517	6.4240	43.7999	193.6427	0.2873	1.9589	NA	NA	NA	NA	cash
2018-05-30	TRUE	MUZ1	EOF	MUZ	CCMT	0.0935	30	0.0961	86.7	135.00	TRUE	0.8340	-0.5410	0.292	TRUE	1.440	TRUE	0.1400	TRUE	0.1250	TRUE	0.1630	FALSE	-0.0761	TRUE	0.1380	390191.000	0.3164	0.1968	33.8166	0.1139	0.5619	74.5520	0.2512	1.2387	3.8648	0.0130	0.0642	NA	NA	NA	NA	cash
2018-05-30	TRUE	MUZ2	EOF	MUZ	FBM	0.0906	30	0.0937	103.3	188.00	TRUE	0.7770	-0.5970	0.181	TRUE	1.950	TRUE	0.2460	TRUE	0.1310	TRUE	0.3820	FALSE	-0.0718	TRUE	0.3570	702216.000	0.5694	0.3832	72.5623	0.1271	1.3693	159.9709	0.2802	3.0188	8.9720	0.0157	0.1693	NA	NA	NA	NA	cash
2018-05-30	TRUE	PRE1	EOF	PRE	CCMT	0.0903	30	0.2538	5450.0	6450.00	TRUE	6.3500	5.6900	12.000	TRUE	18.900	TRUE	0.1080	TRUE	0.0594	TRUE	0.3500	FALSE	-0.0689	TRUE	0.3250	3484434.000	2.8253	0.9258	18990.1653	41.8132	65.8558	41865.7184	92.1814	145.1857	1143.2474	2.5172	3.9647	NA	NA	NA	NA	cash
2018-05-30	TRUE	PRE2	EOF	PRE	FBM	0.0941	30	0.2278	4456.7	7880.00	TRUE	6.5000	6.1400	12.600	TRUE	16.400	TRUE	0.1700	TRUE	0.1140	TRUE	1.2700	FALSE	-0.0637	TRUE	1.2450	3945699.000	3.1993	1.0273	17584.6652	49.7158	64.7095	38767.1529	109.6035	142.6585	1037.3870	2.9329	3.8175	NA	NA	NA	NA	cash
2018-06-05	TRUE	MUZ2	EOF	MUZ	FBM	0.0945	30	0.1078	443.3	472.00	TRUE	0.7230	0.8340	1.560	FALSE	2.530	TRUE	0.1260	TRUE	0.1100	TRUE	0.0035	FALSE	-0.0743	TRUE	-0.0215	171305.000	0.1389	0.0935	75.9452	0.2672	0.4334	167.4288	0.5891	0.9555	9.3903	0.0330	0.0536	NA	NA	NA	NA	cash
2018-06-14	FALSE	MUR2	EOF	MUR	FBM	0.0894	30	0.1357	1543.3	620.00	TRUE	25.2000	27.7000	52.900	TRUE	44.500	FALSE	0.6080	TRUE	0.0799	TRUE	6.0200	FALSE	0.1200	TRUE	5.9000	3207197.000	2.6005	1.9133	4949.7740	169.6607	142.7203	10912.2718	374.0340	314.6411	676.5203	23.1887	19.5066	NA	NA	NA	NA	cash
2018-06-14	FALSE	PRE1	EOF	PRE	CCMT	0.0976	30	0.1916	3133.3	3000.00	TRUE	4.7700	3.8500	8.620	TRUE	2.590	FALSE	0.3610	TRUE	0.5100	TRUE	1.6000	FALSE	-0.0520	TRUE	1.5750	7110.000	0.0058	0.0019	22.2780	0.0613	0.0184	49.1141	0.1351	0.0406	1.3412	0.0037	0.0011	NA	NA	NA	NA	cash
2018-06-14	FALSE	SIM1	EOF	SIM	CCMT	0.0915	30	1.0131	30720.0	22000.00	TRUE	7.8100	7.4400	15.300	TRUE	6.910	FALSE	3.0600	TRUE	0.0624	TRUE	2.1200	FALSE	0.0116	TRUE	2.0950	141283.000	0.1146	0.0962	4340.2138	2.1616	0.9763	9568.4353	4.7655	2.1523	669.5896	0.3335	0.1506	NA	NA	NA	NA	cash
2018-06-25	TRUE	CAR1	EOF	CAR	CCMT	0.2479	50	0.2684	410.0	497.00	FALSE	4.2900	1.6300	5.910	TRUE	3.570	TRUE	0.8990	TRUE	0.2780	TRUE	0.5650	FALSE	0.6400	TRUE	-0.0750	1113947.000	0.9032	0.4847	456.7183	6.5834	3.9768	1006.8811	14.5138	8.7672	45.0305	0.6491	0.3921	NA	NA	NA	NA	cash
2018-06-25	TRUE	MUR2	EOF	MUR	FBM	0.2486	20	0.3022	2680.0	2180.00	FALSE	7.6900	3.2900	11.000	TRUE	8.970	TRUE	0.2780	TRUE	0.1400	TRUE	1.0300	FALSE	0.4660	TRUE	0.5640	7188283.000	5.8286	4.2883	19264.5984	79.0711	64.4789	42470.7337	174.3202	142.1502	2633.0275	10.8072	8.8128	NA	NA	NA	NA	cash
2018-06-25	TRUE	MUZ1	EOF	MUZ	CCMT	0.2517	20	0.3208	3455.0	2320.00	FALSE	5.1200	2.2400	7.360	TRUE	10.700	TRUE	0.1740	TRUE	0.1340	TRUE	0.0268	FALSE	0.0202	TRUE	0.0018	1239224.000	1.0048	0.6251	4281.5189	9.1207	13.2597	9439.0366	20.1075	29.2323	489.3228	1.0424	1.5154	NA	NA	NA	NA	cash
2018-06-25	TRUE	MUZ2	EOF	MUZ	FBM	0.2486	50	0.2812	652.0	586.00	FALSE	1.6000	0.3250	1.920	TRUE	2.940	TRUE	0.0306	TRUE	0.0919	TRUE	0.0035	FALSE	0.0236	TRUE	-0.0215	388013.000	0.3146	0.2117	252.9845	0.7450	1.1408	557.7296	1.6424	2.5149	31.2804	0.0921	0.1410	NA	NA	NA	NA	cash
2018-06-25	TRUE	PRE2	EOF	PRE	FBM	0.2462	20	0.3562	5500.0	5660.00	FALSE	7.6900	0.3550	8.040	TRUE	12.800	TRUE	0.0554	TRUE	0.2540	TRUE	0.0035	FALSE	0.0137	TRUE	-0.0215	1996400.000	1.6188	0.5198	10980.2000	16.0511	25.5539	24206.9489	35.3862	56.3362	647.7642	0.9469	1.5075	NA	NA	NA	NA	cash
2018-06-25	TRUE	SCH1	EOF	SCH	CCMT	0.2472	50	0.2777	610.0	481.00	FALSE	2.2300	1.3900	3.620	TRUE	3.600	TRUE	0.0835	TRUE	0.2970	TRUE	0.0233	FALSE	0.0226	TRUE	-0.0017	1027122.000	0.8328	0.9628	626.5444	3.7182	3.6976	1381.2798	8.1971	8.1518	133.0713	0.7897	0.7853	NA	NA	NA	NA	cash
2018-06-25	TRUE	SIM1	EOF	SIM	CCMT	0.2507	50	0.2879	744.0	470.00	FALSE	21.3000	2.2800	23.500	TRUE	3.280	TRUE	2.2700	TRUE	0.1050	TRUE	2.4100	FALSE	1.7400	TRUE	0.6700	295863.000	0.2399	0.2015	220.1221	6.9528	0.9704	485.2811	15.3281	2.1394	33.9595	1.0726	0.1497	NA	NA	NA	NA	cash
2018-07-06	TRUE	CAR1	EOF	CAR	CCMT	0.0933	40	0.2276	3357.5	2580.00	TRUE	11.2000	4.9300	16.100	FALSE	9.790	TRUE	0.1300	TRUE	0.2110	TRUE	0.0035	FALSE	0.0119	TRUE	-0.0215	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	cash
2018-07-06	TRUE	MUR2	EOF	MUR	FBM	0.0938	40	0.1074	340.0	168.00	TRUE	2.4600	0.4810	2.940	FALSE	1.780	TRUE	0.1220	TRUE	0.0903	TRUE	0.2060	FALSE	0.2110	TRUE	-0.0050	768363.000	0.6230	0.4584	261.2434	2.2590	1.3677	575.9372	4.9802	3.0152	35.7060	0.3088	0.1869	NA	NA	NA	NA	cash
2018-07-06	TRUE	MUZ1	EOF	MUZ	CCMT	0.0932	40	0.1012	200.0	84.90	TRUE	0.5260	0.4100	0.936	FALSE	1.430	TRUE	0.0438	TRUE	0.0912	TRUE	0.0035	FALSE	0.0248	TRUE	-0.0215	541106.000	0.4388	0.2729	108.2212	0.5065	0.7738	238.5845	1.1166	1.7059	12.3683	0.0579	0.0884	NA	NA	NA	NA	cash
2018-07-06	TRUE	MUZ2	EOF	MUZ	FBM	0.0952	40	0.1016	160.0	133.00	TRUE	0.5780	0.3920	0.970	FALSE	1.540	TRUE	0.0369	TRUE	0.0754	TRUE	0.2580	FALSE	0.3330	TRUE	-0.0750	250687.000	0.2033	0.1368	40.1099	0.2432	0.3861	88.4263	0.5361	0.8511	4.9594	0.0301	0.0477	NA	NA	NA	NA	cash
2018-07-06	TRUE	PRE1	EOF	PRE	CCMT	0.0922	40	0.2350	3570.0	4040.00	TRUE	4.3500	1.7900	6.150	FALSE	10.600	TRUE	-0.0254	TRUE	0.1890	TRUE	0.0035	FALSE	0.0137	TRUE	-0.0215	2167.000	0.0018	0.0006	7.7362	0.0133	0.0230	17.0552	0.0294	0.0506	0.4657	0.0008	0.0014	NA	NA	NA	NA	cash
2018-07-06	TRUE	SIM1	EOF	SIM	CCMT	0.0926	40	0.0993	167.5	57.70	TRUE	3.3600	0.5820	3.950	FALSE	0.717	TRUE	0.2860	TRUE	0.0541	TRUE	0.3800	FALSE	-0.0770	TRUE	0.3550	268874.000	0.2180	0.1831	45.0364	1.0621	0.1928	99.2872	2.3414	0.4250	6.9480	0.1638	0.0297	NA	NA	NA	NA	cash
2018-07-13	TRUE	MUR1	EOF	MUR	CCMT	0.0934	35	0.1892	2737.1	NA	FALSE	7.9000	-0.1070	7.790	TRUE	5.950	TRUE	0.0286	TRUE	0.2240	TRUE	0.2210	TRUE	0.2440	TRUE	-0.0230	229513.000	0.1861	0.1173	628.2099	1.7879	1.3656	1384.9515	3.9416	3.0106	72.7390	0.2070	0.1581	NA	NA	NA	NA	cash
2018-07-13	TRUE	MUR2	EOF	MUR	FBM	0.0924	35	0.1218	840.0	NA	FALSE	2.5600	0.9360	3.490	TRUE	3.610	TRUE	-0.0009	TRUE	0.1750	TRUE	0.0267	TRUE	0.0528	TRUE	-0.0261	301596.000	0.2445	0.1799	253.3406	1.0526	1.0888	558.5148	2.3205	2.4003	34.6258	0.1439	0.1488	NA	NA	NA	NA	cash
2018-07-13	TRUE	SCH2	EOF	SCH	FBM	0.0944	40	0.1126	455.0	NA	FALSE	0.5470	0.6140	1.160	TRUE	1.830	TRUE	0.0421	TRUE	0.0942	TRUE	0.0035	TRUE	0.0436	TRUE	-0.0215	715429.000	0.5801	0.7633	325.5202	0.8299	1.3092	717.6418	1.8296	2.8863	78.6888	0.2006	0.3165	NA	NA	NA	NA	cash
2018-07-19	FALSE	CAR1	EOF	CAR	CCMT	0.0947	50	0.1865	1836.0	1530.00	TRUE	12.4000	4.3300	16.700	TRUE	11.100	TRUE	0.0812	TRUE	0.3810	TRUE	0.2240	FALSE	-0.1460	FALSE	0.1990	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	cash
2018-07-19	FALSE	PRE1	EOF	PRE	CCMT	0.0939	50	0.1146	414.0	507.00	TRUE	0.7210	1.0600	1.780	TRUE	2.730	TRUE	-0.0095	TRUE	0.3580	TRUE	0.0035	FALSE	-0.4370	FALSE	-0.0215	1258655.000	1.0206	0.3344	521.0832	2.2404	3.4361	1148.7800	4.9392	7.5753	31.3703	0.1349	0.2069	NA	NA	NA	NA	cash
2018-07-19	FALSE	PRE2	EOF	PRE	FBM	0.0925	50	0.1360	870.0	561.00	TRUE	1.4100	1.3400	2.750	TRUE	3.490	TRUE	-0.0175	TRUE	0.3530	TRUE	0.0122	FALSE	-0.3890	FALSE	-0.0128	4594725.000	3.7256	1.1963	3997.4108	12.6355	16.0356	8812.6917	27.8562	35.3521	235.8226	0.7454	0.9460	NA	NA	NA	NA	cash
2018-07-19	FALSE	SCH1	EOF	SCH	CCMT	0.0939	50	0.1011	144.0	59.50	TRUE	0.9550	0.7910	1.750	TRUE	1.640	TRUE	0.0366	TRUE	2.6200	TRUE	0.0371	FALSE	-0.3050	FALSE	0.0121	1746700.000	1.4163	1.6373	251.5248	3.0567	2.8646	554.5116	6.7389	6.3153	53.4212	0.6492	0.6084	NA	NA	NA	NA	cash
2018-07-19	FALSE	SIM1	EOF	SIM	CCMT	0.0916	25	0.2462	6184.0	5760.00	TRUE	8.0100	9.8900	17.900	TRUE	10.800	TRUE	1.4000	TRUE	0.3690	TRUE	0.0035	FALSE	-0.4030	FALSE	-0.0215	118117.000	0.0958	0.0804	730.4355	2.1143	1.2757	1610.3182	4.6612	2.8123	112.6885	0.3262	0.1968	NA	NA	NA	NA	cash
2018-07-23	TRUE	MUR1	EOF	MUR	CCMT	0.0917	30	0.2958	6803.3	8320.00	TRUE	9.6300	7.3500	17.000	TRUE	14.200	TRUE	0.1670	TRUE	0.2630	TRUE	0.0035	FALSE	-0.3960	FALSE	-0.0215	99207.000	0.0804	0.0507	674.9383	1.6865	1.4087	1487.9690	3.7181	3.1057	78.1496	0.1953	0.1631	NA	NA	NA	NA	cash
2018-07-23	TRUE	MUR2	EOF	MUR	FBM	0.0930	30	0.1619	2296.7	2650.00	TRUE	3.3900	2.9700	6.360	TRUE	8.460	TRUE	0.0426	TRUE	0.2070	TRUE	0.0035	FALSE	-0.4400	FALSE	-0.0215	181414.000	0.1471	0.1082	416.6475	1.1538	1.5348	918.5410	2.5437	3.3835	56.9461	0.1577	0.2098	NA	NA	NA	NA	cash
2018-07-23	TRUE	MUZ1	EOF	MUZ	CCMT	0.0909	50	0.0963	108.0	46.00	TRUE	0.4430	0.7920	1.250	TRUE	1.270	TRUE	0.0833	TRUE	0.1570	TRUE	0.2870	FALSE	-0.0987	FALSE	0.2620	627259.000	0.5086	0.3164	67.7440	0.7841	0.7966	149.3484	1.7286	1.7562	7.7423	0.0896	0.0910	NA	NA	NA	NA	cash
2018-07-23	TRUE	MUZ2	EOF	MUZ	FBM	0.0938	30	0.1029	303.3	267.00	TRUE	3.4200	2.0000	5.430	TRUE	3.300	TRUE	0.5910	TRUE	0.3660	TRUE	0.2200	FALSE	-0.1730	FALSE	0.1950	45359.000	0.0368	0.0248	13.7589	0.2463	0.1497	30.3329	0.5430	0.3300	1.7012	0.0305	0.0185	NA	NA	NA	NA	cash
2018-07-23	TRUE	PRE1	EOF	PRE	CCMT	0.0935	30	0.4252	11056.7	7230.00	TRUE	7.0700	3.6900	10.800	TRUE	12.600	TRUE	0.0489	TRUE	0.1610	TRUE	0.0172	FALSE	-0.3870	FALSE	-0.0078	618285.000	0.5013	0.1643	6836.1712	6.6775	7.7904	15071.0229	14.7212	17.1747	411.5517	0.4020	0.4690	NA	NA	NA	NA	cash
2018-07-23	TRUE	PRE2	EOF	PRE	FBM	0.0926	50	0.0994	136.0	134.00	TRUE	0.6830	1.6300	2.310	TRUE	1.630	TRUE	0.1970	TRUE	0.3270	TRUE	0.0035	FALSE	-0.3970	FALSE	-0.0215	1900935.000	1.5414	0.4949	258.5272	4.3912	3.0985	569.9490	9.6808	6.8310	15.2515	0.2591	0.1828	NA	NA	NA	NA	cash
2018-07-23	TRUE	SIM1	EOF	SIM	CCMT	0.0926	50	0.1475	1098.0	526.00	TRUE	12.0000	2.1700	14.200	TRUE	3.730	TRUE	0.1450	TRUE	0.2320	TRUE	0.6800	FALSE	0.3840	FALSE	0.2960	106540.000	0.0864	0.0725	116.9809	1.5129	0.3974	257.8961	3.3353	0.8761	18.0473	0.2334	0.0613	NA	NA	NA	NA	cash
2018-07-31	FALSE	MUR1	EOF	MUR	CCMT	0.0928	20	0.2117	5945.0	6430.00	TRUE	6.9300	2.4700	9.400	TRUE	12.000	TRUE	0.1590	TRUE	0.3330	TRUE	0.0956	FALSE	-0.2890	FALSE	0.0706	47765.000	0.0387	0.0244	283.9629	0.4490	0.5732	626.0247	0.9898	1.2636	32.8794	0.0520	0.0664	NA	NA	NA	NA	cash
2018-07-31	FALSE	MUZ2	EOF	MUZ	FBM	0.0927	20	0.0972	225.0	126.00	TRUE	0.6610	0.5790	1.240	TRUE	1.420	TRUE	-0.0364	TRUE	0.1410	TRUE	0.0035	FALSE	-0.4020	FALSE	-0.0215	55551.000	0.0450	0.0303	12.4990	0.0689	0.0789	27.5552	0.1519	0.1739	1.5454	0.0085	0.0098	NA	NA	NA	NA	cash
2018-07-31	FALSE	PRE1	EOF	PRE	CCMT	0.0944	20	0.1293	1745.0	585.00	TRUE	1.6900	0.0450	1.730	TRUE	4.110	TRUE	-0.0217	TRUE	0.2580	TRUE	0.0966	FALSE	-0.2660	FALSE	0.0716	2028901.000	1.6451	0.5391	3540.4322	3.5100	8.3388	7805.2369	7.7381	18.3837	213.1414	0.2113	0.5020	NA	NA	NA	NA	cash
2018-07-31	FALSE	SCH1	EOF	SCH	CCMT	0.0938	20	0.0952	70.0	15.70	TRUE	0.3380	0.2170	0.599	TRUE	1.070	TRUE	0.0361	TRUE	0.2710	TRUE	0.0390	FALSE	-0.3890	FALSE	0.0140	799175.000	0.6480	0.7491	55.9422	0.4787	0.8551	123.3303	1.0554	1.8852	11.8815	0.1017	0.1816	NA	NA	NA	NA	cash
2018-07-31	FALSE	SCH2	EOF	SCH	FBM	0.0937	20	0.0962	125.0	59.80	TRUE	6.6800	-6.4200	0.258	TRUE	1.220	TRUE	0.0680	TRUE	0.1480	TRUE	0.1070	FALSE	-0.2590	FALSE	0.0820	718728.000	0.5828	0.7668	89.8410	0.1854	0.8768	198.0635	0.4088	1.9331	21.7175	0.0448	0.2120	NA	NA	NA	NA	cash
2018-09-11	FALSE	CAR1	EOF	CAR	CCMT	0.0933	20	0.1208	1375.0	960.00	FALSE	NA	NA	8.440	TRUE	7.840	TRUE	0.1550	FALSE	21.2000	TRUE	0.6900	FALSE	-0.0440	TRUE	0.6650	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	cash
2018-09-11	FALSE	MUR1	EOF	MUR	CCMT	0.0923	20	0.1771	4240.0	4472.00	FALSE	NA	NA	3.540	TRUE	3.520	TRUE	-0.0082	FALSE	0.5710	TRUE	0.1500	FALSE	-0.0419	TRUE	0.1250	2628348.000	2.1312	1.3432	11144.1955	9.3044	9.2518	24568.4934	20.5124	20.3965	1290.3621	1.0773	1.0712	NA	NA	NA	NA	cash
2018-09-11	FALSE	MUR2	EOF	MUR	FBM	0.0913	20	0.1160	1235.0	2024.00	FALSE	NA	NA	4.850	TRUE	5.610	TRUE	0.0743	FALSE	0.6260	TRUE	0.0035	FALSE	-0.0482	TRUE	-0.0215	1154103.000	0.9358	0.6885	1425.3172	5.5974	6.4745	3142.2543	12.3400	14.2737	194.8081	0.7650	0.8849	NA	NA	NA	NA	cash
2018-09-11	FALSE	MUZ1	EOF	MUZ	CCMT	0.0935	20	0.1504	2845.0	2620.00	FALSE	NA	NA	11.400	TRUE	9.680	TRUE	0.0719	FALSE	0.6500	TRUE	2.5500	FALSE	-0.0457	TRUE	2.5250	3594904.000	2.9149	1.8133	10227.5019	40.9819	34.7987	22547.5506	90.3487	76.7171	1168.8725	4.6837	3.9770	NA	NA	NA	NA	cash
2018-09-11	FALSE	MUZ2	EOF	MUZ	FBM	0.0931	30	0.1033	340.0	373.00	FALSE	NA	NA	4.900	TRUE	3.220	TRUE	0.0707	FALSE	0.9210	TRUE	2.7100	FALSE	-0.0446	TRUE	2.6850	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	cash
2018-09-11	FALSE	PRE2	EOF	PRE	FBM	0.0939	30	0.0969	100.0	86.90	FALSE	NA	NA	2.590	TRUE	0.498	TRUE	0.3630	FALSE	0.3810	TRUE	0.0262	FALSE	-0.0436	TRUE	0.0012	902238.000	0.7316	0.2349	90.2238	2.3368	0.4493	198.9074	5.1517	0.9906	5.3226	0.1379	0.0265	NA	NA	NA	NA	cash
2018-09-11	FALSE	SCH2	EOF	SCH	FBM	0.0930	20	0.1185	1275.0	895.00	FALSE	NA	NA	5.000	TRUE	4.320	TRUE	0.0397	FALSE	0.4180	TRUE	0.4400	FALSE	-0.0437	TRUE	0.4150	13855.000	0.0112	0.0148	17.6651	0.0693	0.0599	38.9445	0.1527	0.1320	4.2702	0.0167	0.0145	NA	NA	NA	NA	cash
2018-09-27	FALSE	MUZ1	EOF	MUZ	CCMT	0.0926	40	0.1206	700.0	579.00	FALSE	2.9700	0.7930	3.760	FALSE	3.350	TRUE	0.0802	FALSE	0.5970	TRUE	2.4200	FALSE	-0.0377	TRUE	2.3950	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	cash
2018-09-27	FALSE	MUZ2	EOF	MUZ	FBM	0.0940	30	0.1640	2333.3	2596.00	FALSE	3.0700	6.2100	9.280	FALSE	10.900	TRUE	0.7230	FALSE	0.3610	TRUE	0.2380	FALSE	-0.0044	TRUE	0.2130	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	cash
2018-09-27	FALSE	SCH2	EOF	SCH	FBM	0.0921	30	0.1149	760.0	926.00	FALSE	3.1200	0.1970	3.320	FALSE	4.230	TRUE	0.2400	FALSE	1.0700	TRUE	1.5100	FALSE	0.0345	TRUE	1.4850	63010.000	0.0511	0.0672	47.8876	0.2092	0.2665	105.5730	0.4612	0.5876	11.5760	0.0506	0.0644	NA	NA	NA	NA	cash
2018-09-27	FALSE	SIM1	EOF	SIM	CCMT	0.0932	20	0.1364	2160.0	3536.00	FALSE	6.5800	1.6200	8.200	FALSE	6.810	TRUE	0.6220	FALSE	0.4860	TRUE	3.9900	FALSE	0.1340	TRUE	3.8560	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	cash
2018-10-18	TRUE	CAR1	EOF	CAR	CCMT	0.0948	30	0.0979	103.3	179.00	FALSE	3.1000	1.5800	4.680	TRUE	5.700	FALSE	0.2010	TRUE	3.5700	TRUE	3.0700	TRUE	-0.0714	FALSE	3.0450	1503586.000	1.2192	0.6543	155.3706	7.0368	8.5704	342.5299	15.5133	18.8944	15.3189	0.6938	0.8450	NA	NA	NA	NA	cash
2018-10-18	TRUE	MUR1	EOF	MUR	CCMT	0.0914	30	0.1166	840.0	1544.00	FALSE	10.4000	2.6700	13.000	TRUE	4.070	FALSE	0.1090	TRUE	0.5230	TRUE	9.9100	TRUE	-0.0720	FALSE	9.8850	1472029.000	1.1936	0.7523	1236.5044	19.1364	5.9912	2725.9975	42.1881	13.2081	143.1721	2.2158	0.6937	NA	NA	NA	NA	cash
2018-10-18	TRUE	MUR2	EOF	MUR	FBM	0.0910	30	0.0990	266.7	387.00	FALSE	16.3000	0.3640	16.700	TRUE	1.330	FALSE	0.0509	TRUE	0.2250	TRUE	13.2000	TRUE	-0.0257	FALSE	13.1750	195482.000	0.1585	0.1166	52.1285	3.2645	0.2600	114.9226	7.1970	0.5732	7.1248	0.4462	0.0355	NA	NA	NA	NA	cash
2018-10-18	TRUE	SIM1	EOF	SIM	CCMT	0.0943	30	0.0947	13.3	47.50	FALSE	3.2600	0.9370	4.190	TRUE	1.880	FALSE	0.2670	TRUE	1.5100	TRUE	3.4200	TRUE	-0.0681	FALSE	3.3950	110230.000	0.0894	0.0751	1.4697	0.4619	0.2072	3.2402	1.0182	0.4569	0.2267	0.0713	0.0320	NA	NA	NA	NA	cash
2018-11-04	TRUE	CAR1	EOF	CAR	CCMT	0.0895	45	0.0995	222.2	198.00	FALSE	1.8900	0.2720	2.160	TRUE	0.075	TRUE	0.0286	TRUE	1.7600	TRUE	0.2330	TRUE	-0.0591	FALSE	0.2080	458257.000	0.3716	0.1994	101.8349	0.9898	0.0344	224.5052	2.1822	0.0758	10.0405	0.0976	0.0034	NA	NA	NA	NA	cover
2018-11-04	TRUE	MUR2	EOF	MUR	FBM	0.0906	20	0.1041	675.0	862.00	FALSE	3.4800	1.9300	5.410	TRUE	3.230	TRUE	0.1110	TRUE	0.1890	TRUE	3.8400	TRUE	-0.0711	FALSE	3.8150	1449040.000	1.1749	0.8645	978.1020	7.8393	4.6804	2156.3237	17.2825	10.3184	133.6840	1.0715	0.6397	NA	NA	NA	NA	cover
2018-11-04	TRUE	SIM1	EOF	SIM	CCMT	0.0927	50	0.0952	50.0	49.80	FALSE	1.7700	0.1840	1.960	TRUE	0.997	TRUE	0.0738	TRUE	0.4140	TRUE	0.7400	TRUE	-0.0672	FALSE	0.7150	401565.000	0.3256	0.2734	20.0783	0.7871	0.4004	44.2645	1.7352	0.8826	3.0976	0.1214	0.0618	NA	NA	NA	NA	cover
2018-11-11	TRUE	CAR1	EOF	CAR	CCMT	0.0944	40	0.0957	32.5	143.00	FALSE	1.0100	1.1600	2.180	TRUE	2.970	TRUE	0.1620	FALSE	1.2000	TRUE	0.6330	TRUE	-0.0401	FALSE	0.6080	4596368.000	3.7269	2.0001	149.3820	10.0201	13.6512	329.3275	22.0903	30.0955	14.7284	0.9879	1.3460	NA	NA	NA	NA	cover
2018-11-11	TRUE	MUR1	EOF	MUR	CCMT	0.0933	30	0.1139	686.7	1020.00	FALSE	2.9000	1.5300	4.430	TRUE	3.460	TRUE	0.1480	FALSE	0.2250	TRUE	1.3700	TRUE	-0.0504	FALSE	1.3450	1871639.000	1.5176	0.9565	1285.1921	8.2914	6.4759	2833.3345	18.2791	14.2767	148.8096	0.9600	0.7498	NA	NA	NA	NA	cover
2018-11-11	TRUE	MUR2	EOF	MUR	FBM	0.0924	30	0.1595	2236.7	2565.00	FALSE	4.2500	0.2410	4.490	TRUE	4.610	TRUE	0.2280	FALSE	0.2010	TRUE	0.4270	TRUE	-0.0517	FALSE	0.4020	868026.000	0.7038	0.5178	1941.4848	3.8974	4.0016	4280.1974	8.5923	8.8219	265.3563	0.5327	0.5469	NA	NA	NA	NA	cover
2018-11-11	TRUE	SIM1	EOF	SIM	CCMT	0.0916	40	0.1035	297.5	348.00	FALSE	1.2500	0.8190	2.070	TRUE	1.520	TRUE	0.1310	FALSE	0.2120	TRUE	0.3250	TRUE	-0.0472	FALSE	0.3000	78164.000	0.0634	0.0532	23.2538	0.1618	0.1188	51.2653	0.3567	0.2619	3.5875	0.0250	0.0183	NA	NA	NA	NA	cover
2018-12-03	TRUE	CAR1	EOF	CAR	CCMT	0.0910	40	0.0926	40.0	33.90	FALSE	4.2500	1.2500	5.500	TRUE	3.010	TRUE	0.1610	FALSE	2.0100	TRUE	2.3700	TRUE	-0.0399	FALSE	2.3450	119869.000	0.0972	0.0522	4.7948	0.6593	0.3608	10.5705	1.4534	0.7954	0.4727	0.0650	0.0356	NA	NA	NA	NA	cover
2018-12-03	TRUE	MUR1	EOF	MUR	CCMT	0.0926	40	0.1122	490.0	648.00	FALSE	2.5200	1.2800	3.800	TRUE	2.280	TRUE	0.2110	FALSE	0.2860	TRUE	0.7240	TRUE	-0.0409	FALSE	0.6990	245272.000	0.1989	0.1253	120.1833	0.9320	0.5592	264.9561	2.0548	1.2329	13.9158	0.1079	0.0648	NA	NA	NA	NA	cover
2018-12-03	TRUE	SCH2	EOF	SCH	FBM	0.0920	20	0.1746	4130.0	6032.00	FALSE	7.8400	5.0600	12.900	TRUE	18.200	TRUE	0.3050	FALSE	1.2000	TRUE	0.6330	TRUE	-0.0379	FALSE	0.6080	1013721.000	0.8220	1.0815	4186.6677	13.0770	18.4497	9229.9277	28.8296	40.6743	1012.0535	3.1611	4.4599	NA	NA	NA	NA	cover
2018-12-11	FALSE	CAR1	EOF	CAR	CCMT	0.0916	45	0.0928	26.7	31.90	FALSE	0.5720	1.6700	2.240	TRUE	2.090	TRUE	0.1610	FALSE	0.9700	FALSE	0.2670	FALSE	-0.0350	FALSE	0.2420	4760333.000	3.8599	2.0715	126.9422	10.6631	9.9491	279.8568	23.5080	21.9338	12.5160	1.0513	0.9809	NA	NA	NA	NA	cover
2018-12-11	FALSE	MUR1	EOF	MUR	CCMT	0.0917	30	0.1024	356.7	479.00	FALSE	1.0600	4.2800	5.340	TRUE	2.030	TRUE	0.0390	FALSE	0.2580	FALSE	3.8800	FALSE	-0.0331	FALSE	3.8550	4470902.000	3.6252	2.2848	1594.6217	23.8746	9.0759	3515.5030	52.6340	20.0088	184.6378	2.7644	1.0509	NA	NA	NA	NA	cover
2018-12-11	FALSE	MUR2	EOF	MUR	FBM	0.0918	30	0.1134	720.0	1004.00	FALSE	1.6900	2.2100	3.900	TRUE	3.140	TRUE	-0.0236	FALSE	0.2210	FALSE	0.9440	FALSE	-0.0255	FALSE	0.9190	2739316.000	2.2211	1.6342	1972.3075	10.6833	8.6015	4348.1492	23.5525	18.9628	269.5691	1.4602	1.1756	NA	NA	NA	NA	cover
2019-01-16	FALSE	CAR1	EOF	CAR	CCMT	0.0927	50	0.0938	22.0	33.20	FALSE	0.8550	0.7340	1.590	TRUE	2.370	TRUE	0.3590	TRUE	0.9450	TRUE	0.2410	TRUE	-0.4350	FALSE	0.2160	932079.000	0.7558	0.4056	20.5057	1.4820	2.2090	45.2069	3.2672	4.8700	2.0218	0.1461	0.2178	NA	NA	NA	NA	cover
2019-01-16	FALSE	MUR1	EOF	MUR	CCMT	0.0919	20	0.1285	1830.0	2252.00	FALSE	2.0300	1.5100	3.540	TRUE	5.510	TRUE	0.0296	TRUE	0.1810	TRUE	0.3710	TRUE	-0.4360	FALSE	0.3460	571585.000	0.4635	0.2921	1046.0005	2.0234	3.1494	2306.0128	4.4608	6.9432	121.1141	0.2343	0.3647	NA	NA	NA	NA	cover
2019-01-16	FALSE	MUR2	EOF	MUR	FBM	0.0919	35	0.1288	1054.3	1680.00	FALSE	1.9700	0.5370	2.510	TRUE	4.100	TRUE	0.2670	TRUE	0.1200	TRUE	0.3700	TRUE	-0.4460	FALSE	0.3450	127275.000	0.1032	0.0759	134.1842	0.3195	0.5218	295.8225	0.7043	1.1504	18.3399	0.0437	0.0713	NA	NA	NA	NA	cover
2019-01-21	TRUE	CAR1	EOF	CAR	CCMT	0.0914	40	0.0939	62.5	70.40	FALSE	0.3530	1.9300	2.280	TRUE	2.110	TRUE	0.3680	TRUE	1.0000	TRUE	0.6540	TRUE	-0.4430	FALSE	0.6290	1412468.000	1.1453	0.6146	88.2792	3.2204	2.9803	194.6204	7.0998	6.5704	8.7040	0.3175	0.2938	NA	NA	NA	NA	cover
2019-01-21	TRUE	MUR1	EOF	MUR	CCMT	0.0921	20	0.1145	1120.0	1780.00	FALSE	3.1800	0.6780	3.860	TRUE	5.040	TRUE	0.1320	TRUE	0.1580	TRUE	0.5550	TRUE	-0.4380	FALSE	0.5300	1929384.000	1.5644	0.9860	2160.9101	7.4474	9.7241	4763.9424	16.4186	21.4377	250.2071	0.8623	1.1259	NA	NA	NA	NA	cover
2019-01-21	TRUE	MUR2	EOF	MUR	FBM	0.0923	20	0.1266	1715.0	2370.00	FALSE	3.7100	0.0520	3.760	TRUE	6.250	TRUE	0.1700	TRUE	0.1810	TRUE	0.3350	TRUE	-0.4320	FALSE	0.3100	1613370.000	1.3082	0.9625	2766.9295	6.0663	10.0836	6099.9729	13.3737	22.2302	378.1756	0.8291	1.3782	NA	NA	NA	NA	cover
2019-01-21	TRUE	SCH2	EOF	SCH	FBM	0.0908	20	0.1050	710.0	857.00	FALSE	1.7300	1.2400	2.970	TRUE	5.330	TRUE	0.5760	TRUE	1.0300	TRUE	0.2480	TRUE	-0.4460	FALSE	0.2230	621133.000	0.5036	0.6627	441.0044	1.8448	3.3106	972.2384	4.0670	7.2986	106.6051	0.4459	0.8003	NA	NA	NA	NA	cover
2019-01-25	TRUE	CAR1	EOF	CAR	CCMT	0.0929	40	0.0930	2.5	14.80	FALSE	NA	NA	NA	FALSE	1.350	TRUE	0.0498	FALSE	0.3860	TRUE	0.0035	TRUE	-0.2590	FALSE	-0.0215	661290.000	0.5362	0.2878	1.6532	NA	0.8927	3.6447	NA	1.9681	0.1630	NA	0.0880	NA	NA	NA	NA	cover
2019-01-25	TRUE	MUR1	EOF	MUR	CCMT	0.0931	20	0.1110	895.0	1290.00	FALSE	NA	NA	NA	FALSE	4.220	TRUE	-0.4880	FALSE	0.0863	TRUE	0.0035	TRUE	-0.2670	FALSE	-0.0215	2214182.000	1.7953	1.1315	1981.6929	NA	9.3438	4368.8401	NA	20.5994	229.4559	NA	1.0819	NA	NA	NA	NA	cover
2019-01-25	TRUE	MUR2	EOF	MUR	FBM	0.0910	20	0.1090	900.0	1610.00	FALSE	NA	NA	NA	FALSE	4.980	TRUE	-0.5240	FALSE	0.0888	TRUE	0.0035	TRUE	-0.2600	FALSE	-0.0215	894271.000	0.7251	0.5335	804.8439	NA	4.4535	1774.3589	NA	9.8181	110.0036	NA	0.6087	NA	NA	NA	NA	cover
2019-03-06	TRUE	CAR1	EOF	CAR	CCMT	0.0949	41	0.1091	346.3	205.00	FALSE	NA	NA	NA	FALSE	2.510	FALSE	-0.1000	FALSE	0.2400	FALSE	0.0035	TRUE	-0.0133	TRUE	-0.0215	954810.000	0.7742	0.4155	330.6903	NA	2.3966	729.0398	NA	5.2835	32.6046	NA	0.2363	NA	NA	NA	NA	cover
2019-03-06	TRUE	CAR2	EOF	CAR	FBM	0.0940	40	0.1078	345.0	243.00	FALSE	NA	NA	NA	FALSE	2.210	FALSE	-0.0990	FALSE	0.2470	FALSE	0.0035	TRUE	-0.0236	TRUE	-0.0215	904735.000	0.7336	0.3762	312.1336	NA	1.9995	688.1297	NA	4.4080	29.4073	NA	0.1884	NA	NA	NA	NA	cover
2019-03-06	TRUE	MUR1	EOF	MUR	CCMT	0.0921	40	0.2208	3217.5	4005.00	FALSE	NA	NA	NA	FALSE	9.970	FALSE	-0.1380	FALSE	0.0523	FALSE	0.0035	TRUE	-0.0230	TRUE	-0.0215	1258372.000	1.0203	0.6431	4048.8119	NA	12.5460	8926.0107	NA	27.6588	468.8031	NA	1.4527	NA	NA	NA	NA	cover
2019-03-06	TRUE	MUR2	EOF	MUR	FBM	0.0937	40	0.1785	2120.0	2895.00	FALSE	NA	NA	NA	FALSE	6.700	FALSE	-0.1260	FALSE	0.0685	FALSE	0.0035	TRUE	-0.0232	TRUE	-0.0215	928919.000	0.7532	0.5542	1969.3083	NA	6.2238	4341.5370	NA	13.7209	269.1591	NA	0.8506	NA	NA	NA	NA	cover
2019-03-06	TRUE	SIM1	EOF	SIM	CCMT	0.0939	41	0.1001	151.2	178.00	FALSE	NA	NA	NA	FALSE	8.739	FALSE	-0.0826	FALSE	0.0532	FALSE	0.0035	TRUE	-0.0231	TRUE	-0.0215	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	cover
2019-03-12	TRUE	HB	INST	NA	NA	0.0925	40	0.0979	135.0	246.00	TRUE	1.3900	0.8090	2.200	TRUE	1.390	TRUE	-0.0746	FALSE	0.1540	FALSE	-0.2010	TRUE	-0.0204	TRUE	-0.2025	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	8.87	83.5	603.8	13.1	cover
2019-03-12	TRUE	PB	INST	NA	NA	0.0941	41	0.1037	234.1	367.00	TRUE	1.2500	0.0917	2.160	TRUE	1.820	TRUE	0.3650	FALSE	0.1070	FALSE	-0.1980	TRUE	-0.0150	TRUE	-0.1995	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	8.53	92.3	444.7	19.5	cover
2019-03-16	TRUE	MUR1	EOF	MUR	CCMT	0.0942	30	0.2518	5253.3	7905.00	TRUE	8.3900	3.9800	12.400	TRUE	17.000	TRUE	-0.0571	FALSE	0.1980	FALSE	0.1330	TRUE	-0.0172	TRUE	0.1080	570675.000	0.4627	0.2916	2997.9460	7.0764	9.7015	6609.2718	15.6006	21.3879	347.1256	0.8194	1.1233	NA	NA	NA	NA	cover
2019-03-16	TRUE	MUR2	EOF	MUR	FBM	0.0922	20	0.2203	6405.0	10320.00	TRUE	9.8400	4.5100	14.300	TRUE	21.200	TRUE	-0.0071	FALSE	0.1820	FALSE	0.0652	TRUE	-0.0166	TRUE	0.0402	727044.000	0.5895	0.4337	4656.7168	10.3967	15.4133	10266.1979	22.9206	33.9802	636.4661	1.4210	2.1066	NA	NA	NA	NA	cover
2019-03-16	TRUE	SCH2	EOF	SCH	FBM	0.0934	30	0.4157	10743.3	7845.00	TRUE	9.2700	8.4500	17.700	TRUE	27.500	TRUE	-0.0689	FALSE	0.4680	FALSE	0.5180	TRUE	-0.0177	TRUE	0.4930	856007.000	0.6941	0.9133	9196.3685	15.1513	23.5402	20274.3141	33.4026	51.8967	2223.0608	3.6626	5.6904	NA	NA	NA	NA	cover
2019-03-16	TRUE	SIM1	EOF	SIM	CCMT	0.0934	40	0.1376	1105.0	1377.00	TRUE	2.3400	2.1700	4.510	TRUE	4.610	TRUE	0.0113	FALSE	0.0503	FALSE	0.1210	TRUE	-0.0166	TRUE	0.0960	146494.000	0.1188	0.0997	161.8759	0.6607	0.6753	356.8715	1.4566	1.4888	24.9735	0.1019	0.1042	NA	NA	NA	NA	cover
2019-03-26	TRUE	CAR2	EOF	CAR	FBM	0.0899	24	0.2919	8416.7	8100.00	TRUE	9.7000	9.1000	18.800	TRUE	24.100	TRUE	0.2930	FALSE	1.2300	FALSE	2.4900	TRUE	-0.0124	TRUE	2.4650	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	cover
2019-03-26	TRUE	HB	INST	NA	NA	0.0912	50	0.0964	104.0	179.00	TRUE	1.8000	0.4120	2.220	TRUE	1.290	TRUE	-0.0048	FALSE	0.1400	FALSE	1.2200	TRUE	-0.0148	TRUE	1.2185	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	8.52	81.5	209.3	13.8	cover
2019-03-26	TRUE	MUR1	EOF	MUR	CCMT	0.0928	24	0.1315	1612.5	2085.00	TRUE	2.6300	2.8400	5.470	TRUE	5.830	TRUE	0.0817	FALSE	0.4590	FALSE	0.5240	TRUE	-0.0162	TRUE	0.4990	477748.000	0.3874	0.2441	770.3686	2.6133	2.7853	1698.3547	5.7612	6.1404	89.1993	0.3026	0.3225	NA	NA	NA	NA	cover
2019-03-26	TRUE	MUR2	EOF	MUR	FBM	0.0913	30	0.1731	2726.7	3405.00	TRUE	3.0500	6.0900	9.150	TRUE	6.990	TRUE	0.0689	FALSE	0.3720	FALSE	0.6460	TRUE	-0.0173	TRUE	0.6210	243758.000	0.1976	0.1454	664.6468	2.2304	1.7039	1465.2804	4.9171	3.7563	90.8419	0.3048	0.2329	NA	NA	NA	NA	cover
2019-03-26	TRUE	PB	INST	NA	NA	0.0944	50	0.1078	268.0	472.00	TRUE	1.9200	1.2600	3.170	TRUE	2.560	TRUE	0.3710	FALSE	0.1530	FALSE	1.0200	TRUE	-0.0145	TRUE	1.0185	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	7.98	77.3	1457.7	14.4	cover
2019-03-26	TRUE	SCH2	EOF	SCH	FBM	0.0914	32	0.1346	1350.0	1845.00	TRUE	2.9000	2.0300	4.930	TRUE	10.700	TRUE	4.4200	FALSE	0.7200	FALSE	0.4930	TRUE	-0.0164	TRUE	0.4680	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	cover
2019-03-26	TRUE	SIM1	EOF	SIM	CCMT	0.0908	30	0.1029	403.3	340.00	TRUE	2.5300	1.0300	3.550	TRUE	2.230	TRUE	0.2890	FALSE	0.3470	FALSE	2.7900	TRUE	-0.0161	TRUE	2.7650	151764.000	0.1231	0.1033	61.2115	0.5388	0.3384	134.9468	1.1878	0.7461	9.4434	0.0831	0.0522	NA	NA	NA	NA	cover
2019-04-05	TRUE	HB	INST	NA	NA	0.0914	55	0.0973	107.3	57.60	TRUE	1.3200	0.2160	1.530	TRUE	0.846	FALSE	0.3250	FALSE	0.4960	TRUE	0.8230	TRUE	-0.0192	TRUE	0.8215	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	8.94	100.2	68.0	21.0	cover
2019-04-05	TRUE	PB	INST	NA	NA	0.0906	50	0.1130	448.0	698.00	TRUE	3.2800	0.5290	3.810	TRUE	3.040	FALSE	0.1320	FALSE	0.3660	TRUE	2.2300	TRUE	-0.0129	TRUE	2.2285	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	7.93	81.7	716.9	16.9	cover
2019-04-06	TRUE	CAR1	EOF	CAR	CCMT	0.0916	35	0.1391	1357.1	1176.00	TRUE	4.4700	4.4500	8.920	TRUE	8.444	FALSE	-0.0009	FALSE	0.8090	TRUE	2.0900	TRUE	-0.0245	TRUE	2.0650	157406.000	0.1276	0.0685	213.6224	1.4041	1.3291	470.9520	3.0954	2.9302	21.0623	0.1384	0.1310	NA	NA	NA	NA	cover
2019-04-06	TRUE	CAR2	EOF	CAR	FBM	0.0917	40	0.1932	2537.5	2130.00	TRUE	6.4300	2.4300	8.860	TRUE	9.920	FALSE	0.5470	FALSE	0.9630	TRUE	4.2900	TRUE	0.0457	TRUE	4.2650	163006.000	0.1322	0.0678	413.6277	1.4442	1.6170	911.8837	3.1840	3.5649	38.9694	0.1361	0.1523	NA	NA	NA	NA	cover
2019-04-06	TRUE	MUR1	EOF	MUR	CCMT	0.0892	30	0.1290	1326.7	1352.00	TRUE	2.8600	0.5610	3.420	TRUE	5.960	FALSE	-0.0031	FALSE	0.2010	TRUE	0.4300	TRUE	-0.0324	TRUE	0.4050	1312552.000	1.0643	0.6708	1741.3190	4.4889	7.8228	3838.9118	9.8963	17.2462	201.6235	0.5198	0.9058	NA	NA	NA	NA	cover
2019-04-06	TRUE	MUR2	EOF	MUR	FBM	0.0891	35	0.1870	2797.1	3105.00	TRUE	5.3100	-0.5600	4.750	TRUE	7.460	FALSE	-0.0084	FALSE	0.1340	TRUE	1.3900	TRUE	-0.0105	TRUE	1.3650	981228.000	0.7956	0.5854	2744.6349	4.6608	7.3200	6050.8221	10.2753	16.1376	375.1285	0.6370	1.0005	NA	NA	NA	NA	cover
2019-04-06	TRUE	SCH2	EOF	SCH	FBM	0.0911	30	0.1191	933.3	674.00	TRUE	2.1700	8.0100	10.200	TRUE	8.120	FALSE	3.3000	FALSE	1.4600	TRUE	0.8580	TRUE	-0.0223	TRUE	0.8330	511082.000	0.4144	0.5453	477.0099	5.2130	4.1500	1051.6160	11.4927	9.1491	115.3088	1.2602	1.0032	NA	NA	NA	NA	cover
2019-04-06	TRUE	SIM1	EOF	SIM	CCMT	0.0902	45	0.1370	1040.0	986.00	TRUE	3.2300	0.9380	4.170	TRUE	3.520	FALSE	0.1100	FALSE	0.1120	TRUE	1.6500	TRUE	-0.0181	TRUE	1.6250	563390.000	0.4568	0.3836	585.9256	2.3493	1.9831	1291.7316	5.1793	4.3720	90.3941	0.3624	0.3059	NA	NA	NA	NA	cover
2019-04-08	TRUE	HB	INST	NA	NA	0.0908	39	0.0978	179.5	233.00	TRUE	0.6080	0.3870	0.994	TRUE	1.160	TRUE	-0.0335	FALSE	0.1160	TRUE	0.0511	TRUE	-0.0259	TRUE	0.0496	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	8.99	96.4	213.9	18.5	cover
2019-04-08	TRUE	PB	INST	NA	NA	0.0913	35	0.1398	1385.7	2280.00	TRUE	3.6100	2.2700	5.880	TRUE	3.810	TRUE	0.0185	FALSE	0.1040	TRUE	0.9420	TRUE	-0.0179	TRUE	0.9405	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	8.84	93.8	2301.0	17.9	cover
2019-04-10	TRUE	CAR2	EOF	CAR	FBM	0.0902	20	0.1557	3275.0	4020.00	TRUE	5.6000	3.8600	9.470	TRUE	13.900	TRUE	0.0088	FALSE	0.2600	TRUE	0.9850	TRUE	-0.0106	TRUE	0.9600	3285448.000	2.6640	1.3661	10759.8422	31.1132	45.6677	23721.1481	68.5921	100.6791	1013.7243	2.9313	4.3025	NA	NA	NA	NA	cover
2019-04-10	TRUE	MUR1	EOF	MUR	CCMT	0.0897	21	0.1821	4400.0	6170.00	TRUE	5.6600	3.9200	9.590	TRUE	11.100	TRUE	0.0172	FALSE	0.1280	TRUE	0.1590	TRUE	0.1210	TRUE	0.0380	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	cover
2019-04-10	TRUE	MUR2	EOF	MUR	FBM	0.0911	20	0.1967	5280.0	9780.00	TRUE	7.9800	4.0100	12.000	TRUE	9.560	TRUE	-0.0319	FALSE	0.1500	TRUE	0.3640	TRUE	-0.0236	TRUE	0.3390	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	cover
2019-04-10	TRUE	SCH2	EOF	SCH	FBM	0.0906	45	0.1177	602.2	919.00	TRUE	2.5700	5.4900	8.060	TRUE	3.750	TRUE	2.5400	FALSE	0.4530	TRUE	1.2500	TRUE	0.0131	TRUE	1.2250	1190294.000	0.9651	1.2699	716.8215	9.5938	4.4636	1580.3047	21.1504	9.8405	173.2790	2.3191	1.0790	NA	NA	NA	NA	cover
2019-04-10	TRUE	SIM1	EOF	SIM	CCMT	0.0923	40	0.1142	547.5	826.00	TRUE	1.5100	1.0800	2.590	TRUE	2.510	TRUE	0.6060	FALSE	2.1500	TRUE	0.0240	TRUE	-0.0401	TRUE	-0.0010	4339433.000	3.5186	2.9547	2375.8396	11.2391	10.8920	5237.7759	24.7778	24.0125	366.5344	1.7339	1.6804	NA	NA	NA	NA	cover
2019-04-26	TRUE	HB	INST	NA	NA	0.0905	50	0.0953	96.0	126.00	TRUE	1.2500	0.3210	1.570	TRUE	1.690	FALSE	0.1740	TRUE	0.5420	TRUE	0.6470	TRUE	-0.0117	TRUE	0.6455	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	8.47	90.2	173.7	18.5	cover
2019-04-27	TRUE	CAR1	EOF	CAR	CCMT	0.0894	50	0.0942	96.0	72.00	TRUE	13.4000	3.4600	16.800	TRUE	1.200	FALSE	2.6100	TRUE	0.0798	TRUE	11.3000	TRUE	0.1690	TRUE	11.1310	1419139.000	1.1507	0.6175	136.2373	23.8415	1.7030	300.3488	52.5610	3.7544	13.4324	2.3507	0.1679	NA	NA	NA	NA	cover
2019-04-27	TRUE	MUR1	EOF	MUR	CCMT	0.0896	50	0.1877	1962.0	2430.00	TRUE	4.5300	1.3000	5.830	TRUE	7.550	FALSE	0.1000	TRUE	0.1530	TRUE	1.1300	TRUE	-0.0127	TRUE	1.1050	195761.000	0.1587	0.1000	384.0831	1.1413	1.4780	846.7496	2.5161	3.2584	44.4721	0.1321	0.1711	NA	NA	NA	NA	cover
2019-04-27	TRUE	MUR2	EOF	MUR	FBM	0.0914	50	0.1932	2036.0	3015.00	TRUE	4.6400	-0.4360	4.200	TRUE	5.440	FALSE	0.0163	TRUE	0.1470	TRUE	0.6870	TRUE	-0.0190	TRUE	0.6620	40259.000	0.0326	0.0240	81.9673	0.1691	0.2190	180.7052	0.3728	0.4828	11.2030	0.0231	0.0299	NA	NA	NA	NA	cover
2019-04-27	TRUE	SCH2	EOF	SCH	FBM	0.0904	50	0.1197	586.0	472.50	TRUE	2.2800	0.9990	3.280	TRUE	3.560	FALSE	0.6620	TRUE	0.4660	TRUE	1.2500	TRUE	-0.0116	TRUE	1.2250	854956.000	0.6932	0.9121	501.0042	2.8043	3.0436	1104.5139	6.1823	6.7100	121.1090	0.6779	0.7357	NA	NA	NA	NA	cover
2019-04-27	TRUE	SIM1	EOF	SIM	CCMT	0.0905	50	0.1124	438.0	508.50	TRUE	2.9000	0.6570	3.560	TRUE	1.510	FALSE	0.1770	TRUE	0.0692	TRUE	1.8000	TRUE	-0.0095	TRUE	1.7750	124262.000	0.1008	0.0846	54.4268	0.4424	0.1876	119.9892	0.9753	0.4137	8.3967	0.0682	0.0289	NA	NA	NA	NA	cover
2019-05-07	TRUE	ARR1	EOF	ARR	CCMT	0.0912	41	0.1222	756.1	811.50	TRUE	9.3300	3.7800	13.100	TRUE	3.640	TRUE	5.2100	TRUE	0.0960	TRUE	8.6200	TRUE	0.2400	TRUE	8.3800	601610.000	0.4878	0.4023	454.8759	7.8811	2.1899	1002.8193	17.3747	4.8278	68.9223	1.1941	0.3318	NA	NA	NA	NA	cash
2019-05-07	TRUE	CAR1	EOF	CAR	CCMT	0.0928	40	0.0981	132.5	77.40	TRUE	1.9000	0.6770	2.580	TRUE	1.280	TRUE	0.1350	TRUE	0.1850	TRUE	1.4300	TRUE	-0.0116	TRUE	1.4050	2274674.000	1.8444	0.9898	301.3943	5.8687	2.9116	664.4539	12.9380	6.4189	29.7162	0.5786	0.2871	NA	NA	NA	NA	cash
2019-05-07	TRUE	MUR1	EOF	MUR	CCMT	0.0923	40	0.1308	962.5	1014.00	TRUE	5.4300	0.9470	6.380	TRUE	4.430	TRUE	0.0180	TRUE	0.2690	TRUE	3.6400	TRUE	-0.0123	TRUE	3.6150	1351920.000	1.0962	0.6909	1301.2230	8.6252	5.9890	2868.6762	19.0152	13.2034	150.6658	0.9987	0.6935	NA	NA	NA	NA	cash
2019-05-07	TRUE	MUR2	EOF	MUR	FBM	0.0903	20	0.1070	835.0	1021.50	TRUE	5.5800	0.7390	6.320	TRUE	3.900	TRUE	0.0228	TRUE	0.1540	TRUE	3.8200	TRUE	-0.0112	TRUE	3.7950	851307.000	0.6903	0.5079	710.8413	5.3803	3.3201	1567.1208	11.8613	7.3195	97.1557	0.7354	0.4538	NA	NA	NA	NA	cash
2019-05-07	TRUE	PBR1	EOF	PBR	CCMT	0.0929	30	0.2148	4063.3	1965.00	TRUE	2.5700	3.0800	5.650	TRUE	7.550	TRUE	0.3630	TRUE	0.1690	TRUE	0.3780	TRUE	-0.0166	TRUE	0.3765	173089.000	0.1403	0.0321	703.3183	0.9780	1.3068	1550.5355	2.1560	2.8810	29.5960	0.0412	0.0550	NA	NA	NA	NA	cash
2019-05-07	TRUE	SCH2	EOF	SCH	FBM	0.0906	40	0.1213	767.5	765.00	TRUE	2.1800	1.0300	3.210	TRUE	3.790	TRUE	0.9300	TRUE	0.5370	TRUE	1.1600	TRUE	-0.0040	TRUE	1.1350	949065.000	0.7695	1.0126	728.4074	3.0465	3.5970	1605.8469	6.7163	7.9298	176.0797	0.7364	0.8695	NA	NA	NA	NA	cash
2019-05-20	TRUE	PB	INST	NA	NA	2.6672	30	2.6768	320.0	591.00	TRUE	0.9880	0.4960	1.480	TRUE	2.080	TRUE	0.2940	TRUE	0.1180	TRUE	0.2740	TRUE	-0.0062	TRUE	0.2725	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	6.28	84.8	617.5	31.1	cash
2019-05-21	TRUE	ARR1	EOF	ARR	CCMT	2.7095	30	2.7526	1436.7	1670.00	TRUE	4.2500	5.5400	9.790	TRUE	2.080	TRUE	3.2800	TRUE	0.0470	TRUE	2.5900	TRUE	0.0544	TRUE	2.5356	150449.000	0.1220	0.1006	216.1451	1.4729	0.3129	476.5134	3.2471	0.6899	32.7501	0.2232	0.0474	NA	NA	NA	NA	cash
2019-05-21	TRUE	CAR1	EOF	CAR	CCMT	2.6715	50	2.6785	140.0	181.00	TRUE	2.4500	2.9600	5.410	TRUE	4.010	TRUE	0.9770	TRUE	1.2600	TRUE	1.2300	TRUE	0.0694	TRUE	1.1606	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	cash
2019-05-21	TRUE	PBR1	EOF	PBR	CCMT	2.6259	30	2.6478	730.0	554.00	TRUE	2.6200	0.6680	3.290	TRUE	2.830	TRUE	1.2700	TRUE	0.0641	TRUE	2.0300	TRUE	0.1160	TRUE	1.9140	106340.000	0.0862	0.0197	77.6282	0.3499	0.3009	171.1391	0.7713	0.6635	3.2666	0.0147	0.0127	NA	NA	NA	NA	cash
2019-05-21	TRUE	SCH1	EOF	SCH	CCMT	2.6803	30	2.6868	216.7	245.00	TRUE	12.4000	169.0000	181.000	TRUE	2.540	TRUE	10.3000	TRUE	0.5670	TRUE	9.4000	TRUE	0.0435	TRUE	9.3750	42361.000	0.0343	0.0397	9.1782	7.6673	0.1076	20.2343	16.9034	0.2372	1.9494	1.6285	0.0229	NA	NA	NA	NA	cash
2019-05-21	TRUE	SCH2	EOF	SCH	FBM	2.7034	20	2.7063	145.0	111.00	TRUE	3.1500	45.5000	48.600	TRUE	2.860	TRUE	5.6600	TRUE	0.9940	TRUE	3.5700	TRUE	0.0435	TRUE	3.5450	32708.000	0.0265	0.0349	4.7427	1.5896	0.0935	10.4557	3.5045	0.2062	1.1465	0.3843	0.0226	NA	NA	NA	NA	cash
2019-05-21	TRUE	SIM1	EOF	SIM	CCMT	2.6999	50	2.9117	4236.0	3850.00	TRUE	4.9500	1.1000	6.050	TRUE	9.660	TRUE	0.4810	TRUE	0.0253	TRUE	1.1300	TRUE	0.0129	TRUE	1.1050	720789.000	0.5844	0.4908	3053.2622	4.3608	6.9628	6731.2219	9.6138	15.3502	471.0442	0.6728	1.0742	NA	NA	NA	NA	cash
2019-05-21	TRUE	SIM2	EOF	SIM	FBM	2.7109	50	2.8804	3390.0	4040.00	TRUE	4.0900	4.3300	8.420	TRUE	7.430	TRUE	1.9800	TRUE	0.0048	TRUE	0.5560	TRUE	0.0032	TRUE	0.5310	1313953.000	1.0654	0.7268	4454.3007	11.0635	9.7627	9819.9513	24.3906	21.5228	558.2690	1.3866	1.2236	NA	NA	NA	NA	cash
2019-06-04	TRUE	ARR2	EOF	ARR	FBM	0.0910	40	0.1368	1145.0	835.00	TRUE	2.6900	5.1200	7.810	TRUE	4.320	TRUE	2.3000	TRUE	0.2110	TRUE	1.9700	TRUE	0.1310	TRUE	1.8390	122747.000	0.0995	0.0772	140.5453	0.9587	0.5303	309.8462	2.1134	1.1690	20.0159	0.1365	0.0755	NA	NA	NA	NA	cash
2019-06-04	TRUE	PBR1	EOF	PBR	CCMT	0.0913	40	0.1044	327.5	132.00	TRUE	0.6710	1.9700	2.640	TRUE	3.080	TRUE	0.8770	TRUE	0.9310	TRUE	0.4310	TRUE	0.0025	TRUE	0.4295	274433.000	0.2225	0.0510	89.8768	0.7245	0.8453	198.1424	1.5972	1.8634	3.7821	0.0305	0.0356	NA	NA	NA	NA	cash
2019-06-04	TRUE	PBR2	EOF	PBR	FBM	0.0929	40	0.1256	817.5	262.00	TRUE	0.5950	2.2800	2.880	TRUE	2.210	TRUE	0.3340	TRUE	0.1560	TRUE	0.2190	TRUE	-0.0012	TRUE	0.2175	4948.000	0.0040	0.0020	4.0450	0.0143	0.0109	8.9176	0.0314	0.0241	0.3733	0.0013	0.0010	NA	NA	NA	NA	cash
2019-06-04	TRUE	SCH2	EOF	SCH	FBM	0.0909	40	0.0992	207.5	92.10	TRUE	3.1400	3.3500	6.490	TRUE	1.730	TRUE	3.6900	TRUE	0.3810	TRUE	2.9300	TRUE	0.2020	TRUE	2.7280	798752.000	0.6477	0.8522	165.7410	5.1839	1.3818	365.3927	11.4284	3.0464	40.0650	1.2531	0.3340	NA	NA	NA	NA	cash
2019-06-09	TRUE	ARR1	EOF	ARR	CCMT	0.0933	40	0.1108	437.5	290.00	TRUE	12.4000	1.7800	14.200	TRUE	1.720	TRUE	2.9100	TRUE	0.0342	TRUE	11.5000	TRUE	0.1430	TRUE	11.3570	767239.000	0.6221	0.5131	335.6671	10.8948	1.3197	740.0116	24.0187	2.9093	50.8599	1.6508	0.2000	NA	NA	NA	NA	cash
2019-06-09	TRUE	ARR2	EOF	ARR	FBM	0.0928	40	0.1098	425.0	291.00	TRUE	13.1000	1.2800	14.400	TRUE	1.570	TRUE	1.9500	TRUE	0.0528	TRUE	11.8000	TRUE	0.0831	TRUE	11.7169	829225.000	0.6724	0.5212	352.4206	11.9408	1.3019	776.9465	26.3248	2.8701	50.1903	1.7006	0.1854	NA	NA	NA	NA	cash
2019-06-09	TRUE	PBR1	EOF	PBR	CCMT	0.0941	40	0.1024	207.5	82.40	TRUE	1.2500	3.0400	4.290	TRUE	1.780	TRUE	0.6470	TRUE	0.3310	TRUE	1.2200	TRUE	0.1590	TRUE	1.0610	53684.000	0.0435	0.0100	11.1394	0.2303	0.0956	24.5580	0.5077	0.2107	0.4688	0.0097	0.0040	NA	NA	NA	NA	cash
2019-06-09	TRUE	PBR2	EOF	PBR	FBM	0.0913	40	0.1016	257.5	66.20	TRUE	0.6110	2.3600	2.970	TRUE	1.360	TRUE	0.3370	TRUE	0.1370	TRUE	0.4880	TRUE	0.0282	TRUE	0.4598	34117.000	0.0277	0.0139	8.7851	0.1013	0.0464	19.3677	0.2234	0.1023	0.8107	0.0094	0.0043	NA	NA	NA	NA	cash
2019-06-09	TRUE	SCH1	EOF	SCH	CCMT	0.0911	40	0.0925	35.0	51.50	TRUE	36.5000	39.1000	75.600	TRUE	1.750	TRUE	16.3000	TRUE	0.5280	TRUE	30.9000	TRUE	0.2410	TRUE	30.6590	294351.000	0.2387	0.2759	10.3023	22.2529	0.5151	22.7124	49.0588	1.1356	2.1881	4.7263	0.1094	NA	NA	NA	NA	cash
2019-06-09	TRUE	SCH2	EOF	SCH	FBM	0.0917	40	0.0983	165.0	123.00	TRUE	12.6000	30.7000	43.200	TRUE	3.010	TRUE	10.3000	TRUE	0.9640	TRUE	10.7000	TRUE	0.1370	TRUE	10.5630	859837.000	0.6972	0.9174	141.8731	37.1450	2.5881	312.7734	81.8898	5.7057	34.2953	8.9791	0.6256	NA	NA	NA	NA	cash
2019-06-09	TRUE	SIM1	EOF	SIM	CCMT	0.0935	40	0.2599	4160.0	1270.00	TRUE	4.4500	1.6700	6.110	TRUE	3.830	TRUE	0.4350	TRUE	0.0525	TRUE	2.6400	TRUE	0.0037	TRUE	2.6150	13116.000	0.0106	0.0089	54.5626	0.0801	0.0502	120.2886	0.1767	0.1107	8.4177	0.0124	0.0077	NA	NA	NA	NA	cash
2019-06-09	TRUE	SIM2	EOF	SIM	FBM	0.0922	40	0.3288	5915.0	6690.00	TRUE	6.0600	0.7220	6.780	TRUE	13.600	TRUE	0.0797	TRUE	0.0306	TRUE	0.6420	TRUE	-0.0138	TRUE	0.6170	1127.000	0.0009	0.0006	6.6662	0.0076	0.0153	14.6963	0.0168	0.0338	0.8355	0.0010	0.0019	NA	NA	NA	NA	cash
2019-06-18	TRUE	MUR1	EOF	MUR	CCMT	0.0927	40	0.3270	5857.5	9530.00	TRUE	10.7000	4.2100	14.900	TRUE	19.400	TRUE	0.0791	TRUE	0.3620	TRUE	2.6100	TRUE	-0.0144	TRUE	2.5850	20980.000	0.0170	0.0107	122.8904	0.3126	0.4070	270.9241	0.6892	0.8973	14.2292	0.0362	0.0471	NA	NA	NA	NA	cash
2019-06-18	TRUE	MUR2	EOF	MUR	FBM	0.0944	40	0.3342	5995.0	8350.00	TRUE	10.7000	3.9600	14.600	TRUE	20.400	TRUE	0.0910	TRUE	0.2660	TRUE	3.4700	TRUE	-0.0113	TRUE	3.4450	10085.000	0.0082	0.0060	60.4596	0.1472	0.2057	133.2892	0.3246	0.4536	8.2634	0.0201	0.0281	NA	NA	NA	NA	cash
2019-06-18	TRUE	PB	INST	NA	NA	0.0929	45	0.1100	380.0	820.00	TRUE	2.6000	2.6800	5.290	TRUE	2.880	TRUE	1.1500	TRUE	0.2390	TRUE	1.1700	TRUE	0.0029	TRUE	1.1685	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	5.77	75.1	715.5	28.8	cash
2019-06-18	TRUE	PBR2	EOF	PBR	FBM	0.0950	20	0.0945	-25.0	11.00	TRUE	0.3350	1.2600	1.600	TRUE	0.638	TRUE	0.2000	TRUE	0.0264	TRUE	0.0709	TRUE	-0.0158	TRUE	0.0694	11794.000	0.0096	0.0048	-0.2948	0.0189	0.0075	-0.6500	0.0416	0.0166	-0.0272	0.0017	0.0007	NA	NA	NA	NA	cash
2019-06-20	TRUE	CAR1	EOF	CAR	CCMT	0.0937	35	0.1000	180.0	203.00	TRUE	2.3900	1.9300	4.320	TRUE	2.080	TRUE	0.3120	TRUE	0.4070	TRUE	1.8000	TRUE	0.0129	TRUE	1.7750	512277.000	0.4154	0.2229	92.2099	2.2130	1.0655	203.2859	4.8789	2.3491	9.0915	0.2182	0.1051	NA	NA	NA	NA	cash
2019-06-20	TRUE	PB	INST	NA	NA	0.0918	35	0.1150	662.9	1190.00	TRUE	4.2300	2.9600	7.190	TRUE	3.890	TRUE	0.7220	TRUE	0.1940	TRUE	3.0000	TRUE	0.0117	TRUE	2.9883	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	5.87	78.4	1083.9	30.2	cash
2019-06-20	TRUE	PBR1	EOF	PBR	CCMT	0.0916	35	0.1158	691.4	751.00	TRUE	2.5300	4.0100	6.530	TRUE	4.640	TRUE	0.2400	TRUE	0.5740	TRUE	1.5500	TRUE	0.0043	TRUE	1.5457	26652.000	0.0216	0.0049	18.4280	0.1740	0.1237	40.6263	0.3837	0.2726	0.7755	0.0073	0.0052	NA	NA	NA	NA	cash
2019-06-20	TRUE	PBR2	EOF	PBR	FBM	0.0904	35	0.0937	94.3	33.00	TRUE	0.1650	1.1900	1.350	TRUE	0.796	TRUE	0.1810	TRUE	0.1210	TRUE	0.0346	TRUE	-0.0144	TRUE	0.0331	98956.000	0.0802	0.0403	9.3301	0.1336	0.0788	20.5692	0.2945	0.1737	0.8610	0.0123	0.0073	NA	NA	NA	NA	cash
2019-06-20	TRUE	SCH1	EOF	SCH	CCMT	0.0948	35	0.1027	225.7	61.70	TRUE	8.3400	4.9900	13.300	TRUE	1.260	TRUE	2.1900	TRUE	0.2470	TRUE	9.2200	TRUE	0.1440	TRUE	9.0760	855180.000	0.6934	0.8016	193.0263	11.3739	1.0775	425.5459	25.0749	2.3755	40.9967	2.4157	0.2289	NA	NA	NA	NA	cash
2019-06-20	TRUE	SCH2	EOF	SCH	FBM	0.0950	35	0.1014	182.9	41.10	TRUE	5.1000	1.6500	6.750	TRUE	1.280	TRUE	0.7050	TRUE	0.3000	TRUE	5.9400	TRUE	0.0689	TRUE	5.8711	518283.000	0.4202	0.5530	94.7717	3.4984	0.6634	208.9338	7.7126	1.4625	22.9094	0.8457	0.1604	NA	NA	NA	NA	cash
2019-06-20	TRUE	SIM1	EOF	SIM	CCMT	0.0921	20	0.1226	1525.0	2040.00	TRUE	8.0300	1.0900	9.110	TRUE	4.360	TRUE	0.2000	TRUE	0.0653	TRUE	5.7400	TRUE	-0.0026	TRUE	5.7150	84869.000	0.0688	0.0578	129.4252	0.7732	0.3700	285.3309	1.7045	0.8158	19.9672	0.1193	0.0571	NA	NA	NA	NA	cash
2019-06-24	TRUE	ARR1	EOF	ARR	CCMT	0.0932	40	0.0989	142.5	156.00	TRUE	1.6500	6.6400	8.280	TRUE	0.837	TRUE	0.4570	TRUE	0.0718	TRUE	8.6800	TRUE	0.0301	TRUE	8.6499	2520102.000	2.0434	1.6853	359.1145	20.8664	2.1093	791.7039	46.0022	4.6502	54.4126	3.1617	0.3196	NA	NA	NA	NA	cash
2019-06-24	TRUE	ARR2	EOF	ARR	FBM	0.0938	40	0.1030	230.0	243.00	TRUE	0.8640	6.6600	7.530	TRUE	1.170	TRUE	0.4060	TRUE	0.0939	TRUE	8.0700	TRUE	0.0064	TRUE	8.0636	1935014.000	1.5690	1.2163	445.0532	14.5707	2.2640	981.1643	32.1225	4.9911	63.3827	2.0751	0.3224	NA	NA	NA	NA	cash
2019-06-24	TRUE	HB	INST	NA	NA	0.0930	80	0.0960	37.5	30.10	TRUE	7.6800	1.2700	8.950	TRUE	0.890	TRUE	1.5900	TRUE	0.3110	TRUE	8.7900	TRUE	0.2090	TRUE	8.5810	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	6.98	85.7	26.4	25.6	cash
2019-06-24	TRUE	PB	INST	NA	NA	0.0934	40	0.1131	492.5	766.00	TRUE	1.9100	1.1400	3.050	TRUE	3.210	TRUE	0.2920	TRUE	0.2420	TRUE	0.8970	TRUE	-0.0042	TRUE	0.8955	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	6.17	72.9	680.7	23.5	cash
2019-06-24	TRUE	PBR1	EOF	PBR	CCMT	0.0914	80	0.0953	48.8	49.90	TRUE	0.2370	0.4480	0.685	TRUE	0.901	TRUE	0.0353	TRUE	0.2890	TRUE	0.1080	TRUE	-0.0163	TRUE	0.1065	4212543.000	3.4157	0.7824	205.3615	2.8856	3.7955	452.7399	6.3616	8.3676	8.6417	0.1214	0.1597	NA	NA	NA	NA	cash
2019-06-24	TRUE	PBR2	EOF	PBR	FBM	0.0929	80	0.1072	178.8	97.90	TRUE	0.0780	0.9690	1.050	TRUE	1.220	TRUE	0.0433	TRUE	0.1570	TRUE	0.2090	TRUE	-0.0144	TRUE	0.2075	686809.000	0.5569	0.2797	122.7671	0.7211	0.8379	270.6524	1.5898	1.8472	11.3291	0.0665	0.0773	NA	NA	NA	NA	cash
2019-06-24	TRUE	STU1	EOF	STU	CCMT	0.0925	40	0.1140	537.5	707.00	TRUE	0.7850	0.7360	1.520	TRUE	2.720	TRUE	0.1020	TRUE	0.2370	TRUE	0.1600	TRUE	-0.0160	TRUE	0.1585	811922.000	0.6583	0.1082	436.4081	1.2341	2.2084	962.1052	2.7207	4.8687	13.1723	0.0373	0.0667	NA	NA	NA	NA	cash
2019-06-24	TRUE	STU2	EOF	STU	FBM	0.0935	40	0.1039	260.0	231.00	TRUE	0.3290	0.5360	0.865	TRUE	1.450	TRUE	0.0285	TRUE	0.1190	TRUE	0.0277	TRUE	-0.0232	TRUE	0.0262	145354.000	0.1179	0.0413	37.7920	0.1257	0.2108	83.3163	0.2772	0.4646	2.4333	0.0081	0.0136	NA	NA	NA	NA	cash
2019-06-25	TRUE	CAR1	EOF	CAR	CCMT	0.0954	40	0.1011	142.5	107.00	TRUE	0.0110	2.5400	2.550	TRUE	1.330	TRUE	0.2330	TRUE	0.3520	TRUE	0.3080	TRUE	-0.0082	TRUE	0.2830	455968.000	0.3697	0.1984	64.9754	1.1627	0.6064	143.2449	2.5633	1.3370	6.4063	0.1146	0.0598	NA	NA	NA	NA	cash
2019-06-25	TRUE	CAR2	EOF	CAR	FBM	0.0934	40	0.1150	540.0	452.00	TRUE	0.4890	2.5700	3.060	TRUE	2.520	TRUE	0.0541	TRUE	0.1940	TRUE	0.3790	TRUE	-0.0088	TRUE	0.3540	715361.000	0.5800	0.2975	386.2949	2.1890	1.8027	851.6258	4.8259	3.9743	36.3943	0.2062	0.1698	NA	NA	NA	NA	cash
2019-06-25	TRUE	MUR1	EOF	MUR	CCMT	0.0954	20	0.1507	2765.0	3970.00	TRUE	4.0400	5.0100	9.060	TRUE	9.360	TRUE	0.0604	TRUE	0.2980	TRUE	0.3880	TRUE	-0.0130	TRUE	0.3630	1980078.000	1.6055	1.0119	5474.9157	17.9395	18.5335	12069.9991	39.5494	40.8590	633.9285	2.0772	2.1460	NA	NA	NA	NA	cash
2019-06-25	TRUE	MUR2	EOF	MUR	FBM	0.0950	20	0.1818	4340.0	5770.00	TRUE	4.5800	2.2400	6.830	TRUE	13.300	TRUE	0.0493	TRUE	0.2040	TRUE	0.5190	TRUE	-0.0154	TRUE	0.4940	2388943.000	1.9371	1.4252	10368.0126	16.3165	31.7729	22857.3206	35.9713	70.0466	1417.0689	2.2301	4.3426	NA	NA	NA	NA	cash
2019-06-25	TRUE	SCH1	EOF	SCH	CCMT	0.0918	20	0.2330	7060.0	8320.00	TRUE	26.1000	5.9100	32.000	TRUE	3.180	TRUE	0.7900	TRUE	0.1930	TRUE	19.1000	TRUE	0.1990	TRUE	18.9010	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	cash
2019-06-25	TRUE	SCH2	EOF	SCH	FBM	0.0957	40	0.1090	332.5	181.00	TRUE	1.4400	11.5000	12.900	TRUE	2.000	TRUE	0.8270	TRUE	0.8160	TRUE	11.3000	TRUE	0.0467	TRUE	11.2750	601273.000	0.4875	0.6415	199.9233	7.7564	1.2025	440.7508	17.0998	2.6511	48.3279	1.8750	0.2907	NA	NA	NA	NA	cash
2019-06-25	TRUE	SIM1	EOF	SIM	CCMT	0.0922	40	0.1196	685.0	854.00	TRUE	2.2000	0.7590	2.960	TRUE	2.150	TRUE	0.0755	TRUE	0.0809	TRUE	0.8120	TRUE	-0.0086	TRUE	0.7870	1398409.000	1.1339	0.9522	957.9102	4.1393	3.0066	2111.8088	9.1255	6.6283	147.7823	0.6386	0.4638	NA	NA	NA	NA	cash
2019-06-25	TRUE	SIM2	EOF	SIM	FBM	0.0913	40	0.1301	970.0	1390.00	TRUE	0.8520	2.0700	2.930	TRUE	2.050	TRUE	0.0771	TRUE	0.0354	TRUE	0.1260	TRUE	-0.0174	TRUE	0.1010	3757183.000	3.0465	2.0783	3644.4675	11.0085	7.7022	8034.5931	24.2694	16.9803	456.7705	1.3797	0.9653	NA	NA	NA	NA	cash
2019-07-09	TRUE	PBR1	EOF	PBR	CCMT	0.0911	50	0.0966	110.0	NA	FALSE	0.1130	0.1600	0.273	TRUE	0.609	TRUE	0.0363	TRUE	0.0978	TRUE	0.0498	TRUE	-0.0135	TRUE	0.0483	317765.000	0.2577	0.0590	34.9542	0.0867	0.1935	77.0599	0.1912	0.4266	1.4709	0.0037	0.0081	NA	NA	NA	NA	cash
2019-07-09	TRUE	SCH1	EOF	SCH	CCMT	0.0917	50	0.1056	278.0	NA	FALSE	1.8200	0.9610	2.780	TRUE	1.730	TRUE	0.2450	TRUE	0.2580	TRUE	1.5700	TRUE	0.0058	TRUE	1.5450	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	cash
2019-07-09	TRUE	SCH2	EOF	SCH	FBM	0.0911	50	0.0941	60.0	NA	FALSE	0.6540	0.3790	1.030	TRUE	1.150	TRUE	0.3850	TRUE	0.2400	TRUE	0.5350	TRUE	-0.0038	TRUE	0.5100	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	cash
2019-07-17	TRUE	HB	INST	NA	NA	0.0928	100	0.0941	13.0	30.50	TRUE	0.7340	0.6320	1.370	TRUE	0.728	TRUE	0.2100	TRUE	0.2500	TRUE	0.4080	TRUE	-0.0014	TRUE	0.4065	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	5.42	66.4	27.3	25.8	cash
2019-07-17	TRUE	PB	INST	NA	NA	0.0932	100	0.0969	37.0	69.60	TRUE	1.4400	1.1600	2.600	TRUE	0.821	TRUE	0.7140	TRUE	0.1490	TRUE	1.1700	TRUE	0.0552	TRUE	1.1148	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	9.16	124.9	82.6	31.9	cash
2019-07-30	TRUE	HB	INST	NA	NA	0.0910	50	0.0915	10.0	11.20	TRUE	0.5790	0.2270	0.806	TRUE	0.555	TRUE	0.1000	TRUE	0.1620	TRUE	0.3380	TRUE	-0.0059	TRUE	0.3365	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	5.89	71.6	8.3	25.2	cash
2019-07-30	TRUE	PB	INST	NA	NA	0.0925	50	0.0977	104.0	156.00	TRUE	2.6900	0.2770	2.970	TRUE	1.000	TRUE	0.2220	TRUE	0.1770	TRUE	2.3200	TRUE	0.0538	TRUE	2.2662	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	7.17	96.5	191.8	31.0	cash
2019-07-31	TRUE	ARR1	EOF	ARR	CCMT	0.0896	50	0.1068	344.0	257.00	TRUE	0.9720	0.9430	1.920	TRUE	1.570	TRUE	0.0576	TRUE	0.2180	TRUE	0.2460	TRUE	-0.0055	TRUE	0.2445	516741.000	0.4190	0.3456	177.7589	0.9921	0.8113	391.8873	2.1873	1.7886	26.9338	0.1503	0.1229	NA	NA	NA	NA	cash
2019-07-31	TRUE	ARR2	EOF	ARR	FBM	0.0896	50	0.1291	790.0	727.00	TRUE	1.3300	1.4400	2.760	TRUE	2.950	TRUE	0.0421	TRUE	0.1590	TRUE	0.0723	TRUE	-0.0050	TRUE	0.0708	466537.000	0.3783	0.2932	368.5642	1.2876	1.3763	812.5367	2.8387	3.0342	52.4895	0.1834	0.1960	NA	NA	NA	NA	cash
2019-07-31	TRUE	PBR1	EOF	PBR	CCMT	0.0898	50	0.1309	822.0	363.00	TRUE	2.0600	2.0300	4.090	TRUE	3.700	TRUE	0.3330	TRUE	0.7410	TRUE	0.9350	TRUE	-0.0037	TRUE	0.9335	35583.000	0.0289	0.0066	29.2492	0.1455	0.1317	64.4828	0.3208	0.2903	1.2308	0.0061	0.0055	NA	NA	NA	NA	cash
2019-07-31	TRUE	PBR2	EOF	PBR	FBM	0.0925	50	0.1018	186.0	77.40	TRUE	0.8240	0.9480	1.770	TRUE	1.780	TRUE	0.0472	TRUE	0.3840	TRUE	0.2010	TRUE	-0.0034	TRUE	0.1995	119581.000	0.0970	0.0487	22.2421	0.2117	0.2129	49.0349	0.4666	0.4693	2.0525	0.0195	0.0196	NA	NA	NA	NA	cash
2019-07-31	TRUE	SCH2	EOF	SCH	FBM	0.0924	50	0.1008	168.0	60.40	TRUE	0.6920	0.5620	1.050	TRUE	1.480	TRUE	0.2420	TRUE	0.2840	TRUE	0.5040	TRUE	0.0122	TRUE	0.4790	2065022.000	1.6744	2.2032	346.9237	2.1683	3.0562	764.8280	4.7802	6.7378	83.8627	0.5241	0.7388	NA	NA	NA	NA	cash
2019-08-01	TRUE	SIM1	EOF	SIM	CCMT	0.0906	80	0.1073	208.8	111.00	TRUE	0.1690	0.3950	0.565	TRUE	0.715	TRUE	0.0446	TRUE	0.0296	TRUE	0.1960	TRUE	-0.0190	TRUE	0.1710	1210702.000	0.9817	0.8244	252.7340	0.6840	0.8657	557.1775	1.5080	1.9084	38.9907	0.1055	0.1335	NA	NA	NA	NA	cash
2019-08-01	TRUE	SIM2	EOF	SIM	FBM	0.0931	100	0.0950	19.0	14.20	TRUE	0.0540	0.2970	0.351	TRUE	0.207	TRUE	-0.0241	TRUE	0.0016	TRUE	0.2520	TRUE	-0.0209	TRUE	0.2270	2119516.000	1.7186	1.1724	40.2708	0.7440	0.4387	88.7810	1.6401	0.9672	5.0472	0.0932	0.0550	NA	NA	NA	NA	cash
2019-08-06	TRUE	MUR1	EOF	MUR	CCMT	0.0925	40	0.0992	167.5	90.90	TRUE	0.5950	0.5330	1.130	TRUE	1.020	TRUE	-0.0486	TRUE	0.1050	TRUE	0.5250	TRUE	-0.0221	TRUE	0.5000	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	cash
2019-08-06	TRUE	MUR2	EOF	MUR	FBM	0.0899	40	0.1594	1737.5	1570.00	TRUE	2.0900	1.8400	3.920	TRUE	5.440	TRUE	-0.0543	TRUE	0.1450	TRUE	0.1970	TRUE	-0.0220	TRUE	0.1720	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	cash
2019-08-06	TRUE	SIM1	EOF	SIM	CCMT	0.0929	40	0.1064	337.5	361.00	TRUE	0.8880	0.9300	1.820	TRUE	1.350	TRUE	0.0102	TRUE	0.0239	TRUE	0.4920	TRUE	-0.0175	TRUE	0.4670	724785.000	0.5877	0.4935	244.6149	1.3191	0.9785	539.2781	2.9081	2.1571	37.7381	0.2035	0.1510	NA	NA	NA	NA	cash
2019-08-06	TRUE	SIM2	EOF	SIM	FBM	0.0919	40	0.1125	515.0	865.00	TRUE	0.9040	1.0700	1.980	TRUE	1.860	TRUE	-0.0546	TRUE	-0.0169	TRUE	0.2040	TRUE	-0.0223	TRUE	0.1790	1208642.000	0.9800	0.6686	622.4506	2.3931	2.2481	1372.2547	5.2759	4.9561	78.0133	0.2999	0.2818	NA	NA	NA	NA	cash
2019-08-12	TRUE	HB	INST	NA	NA	0.0925	40	0.0955	75.0	113.00	TRUE	0.5420	0.6500	1.190	TRUE	1.220	TRUE	0.1790	TRUE	0.2850	TRUE	0.1090	TRUE	-0.0220	TRUE	0.1075	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	5.19	65.7	133.0	27.3	cash
2019-08-12	TRUE	PB	INST	NA	NA	0.0925	40	0.0945	50.0	92.90	TRUE	0.4660	0.4610	0.927	TRUE	1.030	TRUE	0.1020	TRUE	0.1910	TRUE	0.1940	TRUE	-0.0240	TRUE	0.1925	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	12.18	175.4	93.4	34.9	cash
2019-08-13	TRUE	ARR1	EOF	ARR	CCMT	0.0922	40	0.1059	342.5	206.00	TRUE	1.3300	1.1300	2.450	TRUE	1.840	TRUE	0.1690	TRUE	0.1790	TRUE	0.5360	TRUE	-0.0183	TRUE	0.5345	162409.000	0.1317	0.1086	55.6251	0.3979	0.2988	122.6311	0.8772	0.6588	8.4283	0.0603	0.0453	NA	NA	NA	NA	cash
2019-08-13	TRUE	ARR2	EOF	ARR	FBM	0.0920	40	0.1460	1350.0	1030.00	TRUE	2.1200	2.0500	4.170	TRUE	4.650	TRUE	0.0834	TRUE	0.0833	TRUE	0.1740	TRUE	-0.0169	TRUE	0.1725	266114.000	0.2158	0.1673	359.2539	1.1097	1.2374	792.0111	2.4464	2.7280	51.1635	0.1580	0.1762	NA	NA	NA	NA	cash
2019-08-13	TRUE	PBR1	EOF	PBR	CCMT	0.0923	40	0.0951	70.0	41.60	TRUE	0.9130	0.5320	1.440	TRUE	1.540	TRUE	0.3280	TRUE	0.4640	TRUE	0.2370	TRUE	-0.0177	TRUE	0.2355	108058.000	0.0876	0.0201	7.5641	0.1556	0.1664	16.6757	0.3430	0.3669	0.3183	0.0065	0.0070	NA	NA	NA	NA	cash
2019-08-13	TRUE	SCH1	EOF	SCH	CCMT	0.0916	40	0.1055	347.5	372.00	TRUE	2.1000	1.2300	3.340	TRUE	3.080	TRUE	0.1920	TRUE	0.4730	TRUE	0.9780	TRUE	-0.0158	TRUE	0.9530	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	cash
2019-08-13	TRUE	SCH2	EOF	SCH	FBM	0.0909	40	0.1819	2275.0	1640.00	TRUE	3.5300	3.1300	6.660	TRUE	8.470	TRUE	0.1200	TRUE	0.5120	TRUE	1.0800	TRUE	-0.0143	TRUE	1.0550	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	cash
2019-08-13	TRUE	STU1	EOF	STU	CCMT	0.0935	40	0.0994	147.5	57.00	TRUE	0.4200	0.3910	0.810	TRUE	0.997	TRUE	0.3890	TRUE	0.0674	TRUE	0.3520	TRUE	0.0203	TRUE	0.3317	3789746.000	3.0729	0.5049	558.9875	3.0697	3.7784	1232.3439	6.7674	8.3298	16.8722	0.0927	0.1140	NA	NA	NA	NA	cash
2019-08-13	TRUE	STU2	EOF	STU	FBM	0.0909	20	0.0992	415.0	319.00	TRUE	0.8120	1.0200	1.840	TRUE	3.120	TRUE	0.0507	TRUE	0.1460	TRUE	0.3590	TRUE	-0.0201	TRUE	0.3575	57382.000	0.0465	0.0163	23.8135	0.1056	0.1790	52.4993	0.2328	0.3947	1.5333	0.0068	0.0115	NA	NA	NA	NA	cash
2019-08-16	TRUE	PBR1	EOF	PBR	CCMT	0.0932	50	0.1029	194.0	70.80	TRUE	0.6710	0.6820	1.350	TRUE	1.800	TRUE	0.0721	TRUE	0.5460	TRUE	0.2390	TRUE	-0.0193	TRUE	0.2375	568837.000	0.4612	0.1056	110.3544	0.7679	1.0239	243.2873	1.6930	2.2573	4.6438	0.0323	0.0431	NA	NA	NA	NA	cash
2019-08-16	TRUE	PBR2	EOF	PBR	FBM	0.0936	50	0.0996	120.0	47.60	TRUE	0.7260	0.7190	1.450	TRUE	1.300	TRUE	0.0755	TRUE	0.3470	TRUE	0.3230	TRUE	-0.0212	TRUE	0.3215	302378.000	0.2452	0.1232	36.2854	0.4384	0.3931	79.9947	0.9666	0.8666	3.3485	0.0405	0.0363	NA	NA	NA	NA	cash
2019-08-16	TRUE	SIM1	EOF	SIM	CCMT	0.0921	50	0.1007	172.0	132.00	TRUE	0.5080	0.7620	1.270	TRUE	0.745	TRUE	0.0488	TRUE	0.0058	TRUE	0.2830	TRUE	-0.0233	TRUE	0.2580	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	cash
2019-08-16	TRUE	SIM2	EOF	SIM	FBM	0.0934	50	0.0945	22.0	9.23	TRUE	0.2110	0.2940	0.505	TRUE	0.200	TRUE	-0.0075	TRUE	-0.0418	TRUE	0.1280	TRUE	-0.0209	TRUE	0.1030	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	cash
2019-08-20	TRUE	MUR1	EOF	MUR	CCMT	0.0922	40	0.1032	275.0	144.00	TRUE	0.5110	0.5510	1.060	TRUE	1.620	TRUE	0.0190	TRUE	0.0751	TRUE	0.2810	TRUE	-0.0043	TRUE	0.2560	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	cash
2019-08-20	TRUE	MUR2	EOF	MUR	FBM	0.0914	40	0.1078	410.0	259.00	TRUE	0.8560	1.0500	1.910	TRUE	1.980	TRUE	0.0753	TRUE	0.1430	TRUE	0.4350	TRUE	-0.0077	TRUE	0.4100	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	cash
2019-08-20	TRUE	STU1	EOF	STU	CCMT	0.0906	40	0.0929	57.5	26.90	TRUE	0.2730	0.5200	0.793	TRUE	0.818	TRUE	0.2960	TRUE	0.0693	TRUE	0.2330	TRUE	-0.0083	TRUE	0.2315	3240710.000	2.6277	0.4317	186.3408	2.5699	2.6509	410.8070	5.6656	5.8442	5.6244	0.0776	0.0800	NA	NA	NA	NA	cash
2019-08-20	TRUE	STU2	EOF	STU	FBM	0.0911	40	0.1042	327.5	100.00	TRUE	0.4440	0.7660	1.210	TRUE	1.720	TRUE	0.3350	TRUE	0.1950	TRUE	0.2650	TRUE	-0.0061	TRUE	0.2635	227441.000	0.1844	0.0646	74.4869	0.2752	0.3912	164.2139	0.6067	0.8624	4.7960	0.0177	0.0252	NA	NA	NA	NA	cash
2019-09-05	TRUE	SCH2	EOF	SCH	FBM	0.0922	40	0.0995	182.5	92.80	TRUE	0.6320	0.5450	1.180	TRUE	1.500	TRUE	0.4280	TRUE	0.1560	TRUE	0.4190	FALSE	-0.0001	TRUE	0.3940	269622.000	0.2186	0.2877	49.2060	0.3182	0.4044	108.4796	0.7014	0.8916	11.8947	0.0769	0.0978	NA	NA	NA	NA	cash
2019-10-17	TRUE	MUR1	EOF	MUR	CCMT	0.0919	45	0.1202	628.9	1050.00	TRUE	5.8100	2.1600	7.970	TRUE	5.160	TRUE	0.2660	TRUE	2.3900	TRUE	7.6100	TRUE	0.0232	TRUE	7.5850	143361.000	0.1162	0.0733	90.1581	1.1426	0.7397	198.7626	2.5189	1.6308	10.4392	0.1323	0.0857	NA	NA	NA	NA	cash
2019-10-17	TRUE	SIM1	EOF	SIM	CCMT	0.0933	45	0.0971	84.4	93.50	TRUE	2.4700	2.2200	4.690	TRUE	1.390	TRUE	0.0856	TRUE	0.2850	TRUE	1.4600	TRUE	-0.0204	TRUE	1.4350	118567.000	0.0961	0.0807	10.0123	0.5561	0.1648	22.0732	1.2259	0.3633	1.5447	0.0858	0.0254	NA	NA	NA	NA	cash
2019-10-22	TRUE	CAR1	EOF	CAR	CCMT	0.0918	30	0.1075	523.3	898.00	TRUE	1.5100	1.8200	3.330	TRUE	3.770	TRUE	0.0911	TRUE	0.6410	TRUE	0.5380	TRUE	-0.0263	TRUE	0.5130	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	cash
2019-10-22	TRUE	HB	INST	NA	NA	0.0916	40	0.0917	2.5	19.40	TRUE	4.8000	0.6980	5.500	TRUE	3.080	TRUE	0.0023	TRUE	0.9790	TRUE	3.7400	TRUE	-0.0045	TRUE	3.7385	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	6.77	66.3	18.5	14.6	cash
2019-10-22	TRUE	MUR1	EOF	MUR	CCMT	0.0909	30	0.1177	893.3	1220.00	TRUE	5.4100	2.5700	7.990	TRUE	5.770	TRUE	0.1950	TRUE	0.0946	TRUE	4.4600	TRUE	-0.0130	TRUE	4.4350	103374.000	0.0838	0.0528	92.3474	0.8260	0.5965	203.5892	1.8209	1.3150	10.6927	0.0956	0.0691	NA	NA	NA	NA	cash
2019-10-22	TRUE	MUR2	EOF	MUR	FBM	0.0901	30	0.1006	350.0	812.00	TRUE	0.0080	9.4700	9.480	TRUE	3.910	TRUE	0.1490	TRUE	0.7200	TRUE	5.4700	TRUE	0.0335	TRUE	5.4450	13298.000	0.0108	0.0079	4.6543	0.1261	0.0520	10.2609	0.2779	0.1146	0.6361	0.0172	0.0071	NA	NA	NA	NA	cash
2019-10-22	TRUE	SCH1	EOF	SCH	CCMT	0.0932	20	0.2170	6190.0	8370.00	TRUE	10.4000	6.0900	16.500	TRUE	20.300	TRUE	0.0202	TRUE	0.5260	TRUE	5.7000	TRUE	-0.0240	TRUE	5.6750	4770.000	0.0039	0.0045	29.5263	0.0787	0.0968	65.0937	0.1735	0.2135	6.2711	0.0167	0.0206	NA	NA	NA	NA	cash
2019-10-22	TRUE	SIM1	EOF	SIM	CCMT	0.0933	40	0.1002	172.5	272.00	TRUE	3.6400	1.4100	5.050	TRUE	1.490	TRUE	0.0308	TRUE	0.2140	TRUE	1.7900	TRUE	-0.0211	TRUE	1.7650	122556.000	0.0994	0.0834	21.1409	0.6189	0.1826	46.6073	1.3644	0.4026	3.2615	0.0955	0.0282	NA	NA	NA	NA	cash
2019-10-22	TRUE	SIM2	EOF	SIM	FBM	0.0922	40	0.0989	167.5	270.00	TRUE	3.2200	2.9200	6.130	TRUE	1.620	TRUE	0.0165	TRUE	0.2240	TRUE	2.8000	TRUE	-0.0078	TRUE	2.7750	67806.000	0.0550	0.0375	11.3575	0.4157	0.1098	25.0388	0.9163	0.2422	1.4235	0.0521	0.0138	NA	NA	NA	NA	cash
2019-10-27	TRUE	ARR1	EOF	ARR	CCMT	0.0942	40	0.1076	335.0	572.00	TRUE	2.2900	1.0000	3.290	TRUE	1.930	TRUE	0.1140	TRUE	0.1600	TRUE	1.5100	TRUE	-0.0153	TRUE	1.5085	459964.000	0.3730	0.5709	154.0879	1.5133	0.8877	339.7023	3.3362	1.9571	43.3294	0.4255	0.2496	NA	NA	NA	NA	cash
2019-10-27	TRUE	ARR2	EOF	ARR	FBM	0.0917	40	0.1169	630.0	949.00	TRUE	2.8600	1.2500	4.110	TRUE	2.410	TRUE	-0.0755	TRUE	0.1330	TRUE	1.9400	TRUE	-0.0079	TRUE	1.9385	370450.000	0.3004	0.5194	233.3835	1.5225	0.8928	514.5173	3.3566	1.9682	74.1379	0.4837	0.2836	NA	NA	NA	NA	cash
2019-10-27	TRUE	HB	INST	NA	NA	0.0931	40	0.0934	7.5	18.40	TRUE	0.7010	0.4780	1.180	TRUE	2.550	TRUE	-0.0680	TRUE	1.3700	TRUE	0.0862	TRUE	-0.0254	TRUE	0.0847	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	6.44	62.8	23.0	14.6	cash
2019-10-27	TRUE	PB	INST	NA	NA	0.0922	40	0.0942	50.0	94.80	TRUE	1.4300	0.0428	1.860	TRUE	1.680	TRUE	-0.0624	TRUE	0.6420	TRUE	1.0800	TRUE	-0.0297	TRUE	1.0785	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	5.71	57.1	111.6	15.5	cash
2019-10-27	TRUE	PBR1	EOF	PBR	CCMT	0.0914	40	0.1137	557.5	747.00	TRUE	2.4700	1.5900	4.050	TRUE	3.610	TRUE	0.0606	TRUE	0.1810	TRUE	1.6200	TRUE	-0.0105	TRUE	1.6185	55616.000	0.0451	0.0103	31.0059	0.2252	0.2008	68.3557	0.4966	0.4426	1.3047	0.0095	0.0084	NA	NA	NA	NA	cash
2019-10-27	TRUE	STU1	EOF	STU	CCMT	0.0940	40	0.0954	35.0	39.90	TRUE	0.4160	0.5390	0.955	TRUE	2.970	TRUE	0.1330	TRUE	1.9500	TRUE	0.2580	TRUE	-0.0234	TRUE	0.2565	1419295.000	1.1508	0.1891	49.6753	1.3554	4.2153	109.5142	2.9882	9.2931	1.4994	0.0409	0.1272	NA	NA	NA	NA	cash
2019-10-27	TRUE	STU2	EOF	STU	FBM	0.0904	40	0.0953	122.5	178.00	TRUE	0.6000	0.0630	0.663	TRUE	3.140	TRUE	0.1620	TRUE	2.0700	TRUE	0.0839	TRUE	-0.0178	TRUE	0.0824	1255560.000	1.0181	0.3568	153.8061	0.8324	3.9425	339.0809	1.8352	8.6915	9.9031	0.0536	0.2538	NA	NA	NA	NA	cash
2019-10-28	TRUE	CAR1	EOF	CAR	CCMT	0.0927	40	0.1007	200.0	301.00	TRUE	0.9550	1.1300	2.090	TRUE	2.200	TRUE	0.0789	TRUE	0.5620	TRUE	0.2850	TRUE	-0.0198	TRUE	0.2600	1016962.000	0.8246	0.4425	203.3924	2.1255	2.2373	448.3989	4.6858	4.9324	20.0536	0.2096	0.2206	NA	NA	NA	NA	cash
2019-10-28	TRUE	CAR2	EOF	CAR	FBM	0.0932	40	0.1021	222.5	259.00	TRUE	3.5800	0.5610	4.140	TRUE	2.650	TRUE	-0.0082	TRUE	1.0900	TRUE	2.5300	TRUE	-0.0239	TRUE	2.5050	736085.000	0.5968	0.3061	163.7789	3.0474	1.9506	361.0670	6.7183	4.3003	15.4302	0.2871	0.1838	NA	NA	NA	NA	cash
2019-10-28	TRUE	MUR1	EOF	MUR	CCMT	0.0911	40	0.1254	857.5	1320.00	TRUE	4.3700	1.4700	5.850	TRUE	4.950	TRUE	0.2420	TRUE	0.9020	TRUE	2.3800	TRUE	-0.0170	TRUE	2.3550	3743409.000	3.0353	1.9130	3209.9732	21.8989	18.5299	7076.7070	48.2784	40.8510	371.6758	2.5356	2.1455	NA	NA	NA	NA	cash
2019-10-28	TRUE	MUR2	EOF	MUR	FBM	0.0931	40	0.1768	2092.5	2450.00	TRUE	7.3400	2.6300	9.970	TRUE	7.280	TRUE	0.0776	TRUE	0.4190	TRUE	4.3200	TRUE	-0.0074	TRUE	4.2950	2274123.000	1.8440	1.3567	4758.6024	22.6730	16.5556	10490.8148	49.9849	36.4985	650.3915	3.0989	2.2628	NA	NA	NA	NA	cash
2019-10-28	TRUE	SCH1	EOF	SCH	CCMT	0.0949	40	0.1023	185.0	210.00	TRUE	6.6700	0.1790	6.850	TRUE	5.340	TRUE	-0.1440	TRUE	2.5500	TRUE	4.7900	TRUE	-0.0165	TRUE	4.7650	1543939.000	1.2519	1.4473	285.6287	10.5760	8.2446	629.6971	23.3158	18.1761	60.6645	2.2462	1.7511	NA	NA	NA	NA	cash
2019-10-28	TRUE	SIM1	EOF	SIM	CCMT	0.0951	40	0.1052	252.5	341.00	TRUE	1.9800	1.0500	3.030	TRUE	1.430	TRUE	0.0905	TRUE	0.1500	TRUE	1.2500	TRUE	-0.0242	TRUE	1.2250	1567831.000	1.2713	1.0675	395.8773	4.7505	2.2420	872.7512	10.4730	4.9427	61.0743	0.7329	0.3459	NA	NA	NA	NA	cash
2019-10-28	TRUE	SIM2	EOF	SIM	FBM	0.0926	40	0.1000	185.0	228.00	TRUE	1.6000	0.8220	2.420	TRUE	1.040	TRUE	0.0545	TRUE	0.1570	TRUE	1.1100	TRUE	-0.0214	TRUE	1.0850	2377650.000	1.9279	1.3152	439.8652	5.7539	2.4728	969.7269	12.6851	5.4514	55.1294	0.7212	0.3099	NA	NA	NA	NA	cash
2019-10-31	TRUE	ARR1	EOF	ARR	CCMT	0.0940	50	0.1177	474.0	840.00	TRUE	1.4200	0.8810	2.300	TRUE	1.690	TRUE	0.0656	TRUE	0.0895	TRUE	0.7760	TRUE	-0.0274	TRUE	0.7745	114859.000	0.0931	0.1425	54.4432	0.2642	0.1941	120.0254	0.5824	0.4279	15.3094	0.0743	0.0546	NA	NA	NA	NA	cash
2019-10-31	TRUE	ARR2	EOF	ARR	FBM	0.0913	50	0.1093	360.0	637.00	TRUE	1.8600	0.5940	2.450	TRUE	1.470	TRUE	0.0580	TRUE	0.1190	TRUE	1.2000	TRUE	-0.0254	TRUE	1.1985	39613.000	0.0321	0.0555	14.2607	0.0971	0.0582	31.4391	0.2140	0.1284	4.5301	0.0308	0.0185	NA	NA	NA	NA	cash
2019-10-31	TRUE	HB	INST	NA	NA	0.0918	100	0.0946	28.0	31.90	TRUE	0.7530	0.7100	1.460	TRUE	2.060	TRUE	0.0547	TRUE	0.9560	TRUE	0.1060	TRUE	-0.0194	TRUE	0.1045	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	10.08	86.1	36.5	8.8	cash
2019-10-31	TRUE	MOS2	EOF	MOS	FBM	0.0919	50	0.1336	834.0	1210.00	TRUE	1.6300	1.3000	2.930	TRUE	3.160	TRUE	0.0486	TRUE	0.1880	TRUE	0.4560	TRUE	-0.0087	TRUE	0.4545	97175.000	0.0788	0.0491	81.0440	0.2847	0.3071	178.6695	0.6277	0.6770	9.2767	0.0326	0.0351	NA	NA	NA	NA	cash
2019-10-31	TRUE	PB	INST	NA	NA	0.0909	100	0.1038	129.0	189.00	TRUE	0.9350	0.3710	1.310	TRUE	1.460	TRUE	-0.0707	TRUE	0.6640	TRUE	0.4000	TRUE	-0.0273	TRUE	0.3985	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	8.11	72.9	199.1	11.0	cash
2019-10-31	TRUE	PBR1	EOF	PBR	CCMT	0.0919	50	0.1289	740.0	928.00	TRUE	1.4600	1.0300	2.500	TRUE	3.680	TRUE	0.1960	TRUE	0.4090	TRUE	0.2090	TRUE	-0.0187	TRUE	0.2075	23595.000	0.0191	0.0044	17.4603	0.0590	0.0868	38.4930	0.1300	0.1914	0.7347	0.0025	0.0037	NA	NA	NA	NA	cash
2019-11-12	TRUE	HB	INST	NA	NA	0.0903	100	0.0932	29.0	37.00	TRUE	0.7900	0.9640	1.750	TRUE	2.280	TRUE	0.1380	TRUE	1.0400	TRUE	0.1710	TRUE	-0.0192	TRUE	0.1695	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	12.75	89.8	49.1	1.7	cover
2019-11-12	TRUE	MOS1	EOF	MOS	CCMT	0.0914	30	0.2035	3736.7	4880.00	TRUE	0.9400	5.8600	6.800	TRUE	12.200	TRUE	0.3270	TRUE	0.1650	TRUE	0.2990	TRUE	-0.0245	TRUE	0.2975	14492.000	0.0118	0.0073	54.1518	0.0985	0.1768	119.3830	0.2173	0.3898	6.2082	0.0113	0.0203	NA	NA	NA	NA	cover
2019-11-12	TRUE	MOS2	EOF	MOS	FBM	0.0918	30	0.1567	2163.3	2860.00	TRUE	3.0600	1.2600	4.310	TRUE	6.390	TRUE	0.0603	TRUE	0.2700	TRUE	0.5410	TRUE	-0.0190	TRUE	0.5395	2419.000	0.0020	0.0012	5.2331	0.0104	0.0155	11.5369	0.0230	0.0341	0.5990	0.0012	0.0018	NA	NA	NA	NA	cover
2019-11-12	TRUE	PB	INST	NA	NA	0.0901	100	0.1082	181.0	280.00	TRUE	1.6500	0.9960	2.640	TRUE	2.260	TRUE	0.1900	TRUE	0.7970	TRUE	1.5700	TRUE	-0.0110	TRUE	1.5685	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	9.99	74.7	358.9	4.0	cover
2019-11-12	TRUE	STU1	EOF	STU	CCMT	0.0929	30	0.1632	2343.3	4080.00	TRUE	7.6200	2.9400	10.600	TRUE	17.200	TRUE	0.6760	TRUE	2.2800	TRUE	2.0700	TRUE	-0.0091	TRUE	2.0685	23080.000	0.0187	0.0031	54.0841	0.2446	0.3970	119.2339	0.5394	0.8752	1.6324	0.0074	0.0120	NA	NA	NA	NA	cover
2019-11-23	TRUE	HB	INST	NA	NA	0.0911	40	0.0914	7.5	34.00	TRUE	0.7360	0.7760	1.510	TRUE	1.390	TRUE	0.1670	TRUE	0.5330	TRUE	0.0859	TRUE	-0.0123	TRUE	0.0844	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	9.69	86.7	36.2	10.3	cover
2019-11-23	TRUE	MOS2	EOF	MOS	FBM	0.0909	40	0.1413	1260.0	2020.00	TRUE	3.0400	0.5200	3.560	TRUE	5.590	TRUE	-0.0272	TRUE	0.2200	TRUE	0.6090	TRUE	-0.0153	TRUE	0.6075	8799.000	0.0071	0.0044	11.0867	0.0313	0.0492	24.4418	0.0691	0.1084	1.2690	0.0036	0.0056	NA	NA	NA	NA	cover
2019-11-23	TRUE	MUR1	EOF	MUR	CCMT	0.0929	40	0.1319	975.0	9670.00	TRUE	6.6000	1.0700	7.670	TRUE	3.960	TRUE	0.2770	TRUE	0.5970	TRUE	3.2000	TRUE	-0.0090	TRUE	3.1750	66846.000	0.0542	0.0342	65.1749	0.5127	0.2647	143.6845	1.1303	0.5836	7.5465	0.0594	0.0307	NA	NA	NA	NA	cover
2019-11-23	TRUE	PB	INST	NA	NA	0.0906	40	0.0996	225.0	359.00	TRUE	2.6000	0.7380	3.330	TRUE	2.150	TRUE	0.0920	TRUE	0.3740	TRUE	1.5000	TRUE	-0.0260	TRUE	1.4985	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	7.19	66.0	410.0	11.5	cover
2019-11-23	TRUE	PBR1	EOF	PBR	CCMT	0.0918	40	0.1414	1240.0	1520.00	TRUE	2.1100	1.2600	3.370	TRUE	2.070	TRUE	0.0441	TRUE	0.4110	TRUE	0.1920	TRUE	-0.0175	TRUE	0.1905	94456.000	0.0766	0.0175	117.1254	0.3183	0.1955	258.2147	0.7018	0.4311	4.9287	0.0134	0.0082	NA	NA	NA	NA	cover
2019-11-23	TRUE	SCH1	EOF	SCH	CCMT	0.0925	40	0.0955	75.0	97.80	TRUE	1.5900	1.7400	3.330	TRUE	2.310	TRUE	0.2060	TRUE	1.5300	TRUE	0.3310	TRUE	-0.0110	TRUE	0.3060	107710.000	0.0873	0.1010	8.0782	0.3587	0.2488	17.8093	0.7907	0.5485	1.7157	0.0762	0.0528	NA	NA	NA	NA	cover
2019-11-23	TRUE	STU1	EOF	STU	CCMT	0.0909	40	0.2051	2855.0	4600.00	TRUE	7.0500	0.8160	7.860	TRUE	26.500	TRUE	0.3350	TRUE	7.0200	TRUE	1.4000	TRUE	-0.0110	TRUE	1.3985	101063.000	0.0819	0.0135	288.5349	0.7944	2.6782	636.1040	1.7512	5.9043	8.7090	0.0240	0.0808	NA	NA	NA	NA	cover
2019-12-07	TRUE	ARR1	EOF	ARR	CCMT	0.0918	40	0.1345	1067.5	1430.00	TRUE	2.0700	1.2800	3.340	TRUE	3.210	TRUE	0.2490	TRUE	0.0968	TRUE	0.2100	TRUE	-0.0204	TRUE	0.2085	44375.000	0.0360	0.0551	47.3703	0.1482	0.1424	104.4326	0.3267	0.3140	13.3205	0.0417	0.0401	NA	NA	NA	NA	cover
2019-12-07	TRUE	ARR2	EOF	ARR	FBM	0.0916	40	0.1702	1965.0	3450.00	TRUE	3.6100	0.8800	4.490	TRUE	7.080	TRUE	0.1100	TRUE	0.0494	TRUE	0.2130	TRUE	-0.0182	TRUE	0.2115	166623.000	0.1351	0.2336	327.4142	0.7481	1.1797	721.8173	1.6493	2.6007	104.0083	0.2377	0.3747	NA	NA	NA	NA	cover
2019-12-07	TRUE	HB	INST	NA	NA	0.0901	40	0.0921	50.0	55.80	TRUE	0.6550	0.5480	1.200	TRUE	1.190	TRUE	0.2530	TRUE	0.3600	TRUE	0.1050	TRUE	-0.0151	TRUE	0.1035	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	10.14	88.4	71.3	9.7	cover
2019-12-07	TRUE	MOS2	EOF	MOS	FBM	0.0898	40	0.1485	1467.5	1930.00	TRUE	3.6400	0.9440	4.590	TRUE	0.893	TRUE	0.0378	TRUE	0.2610	TRUE	0.8330	TRUE	-0.0165	TRUE	0.8315	14494.000	0.0118	0.0073	21.2699	0.0665	0.0129	46.8917	0.1467	0.0285	2.4347	0.0076	0.0015	NA	NA	NA	NA	cover
2019-12-07	TRUE	PB	INST	NA	NA	0.0936	40	0.1033	242.5	494.00	TRUE	2.0900	0.5910	2.680	TRUE	2.010	TRUE	0.3310	TRUE	0.2560	TRUE	0.7610	TRUE	-0.0133	TRUE	0.7595	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	7.02	62.1	565.0	10.4	cover
2019-12-07	TRUE	PBR1	EOF	PBR	CCMT	0.0904	40	0.1434	1325.0	1600.00	TRUE	2.4100	1.0300	3.440	TRUE	6.610	TRUE	0.2700	TRUE	0.5740	TRUE	0.3310	TRUE	-0.0133	TRUE	0.3295	80485.000	0.0653	0.0149	106.6426	0.2769	0.5320	235.1043	0.6104	1.1729	4.4876	0.0117	0.0224	NA	NA	NA	NA	cover
2019-12-07	TRUE	STU2	EOF	STU	FBM	0.0918	40	0.1752	2085.0	2190.00	TRUE	3.5800	0.2890	3.870	TRUE	7.080	TRUE	0.1400	TRUE	0.2360	TRUE	0.5930	TRUE	-0.0138	TRUE	0.5915	85160.000	0.0691	0.0523	177.5586	0.3296	0.6029	391.4457	0.7266	1.3292	24.6969	0.0458	0.0839	NA	NA	NA	NA	cover
2019-12-11	TRUE	HB	INST	NA	NA	0.0921	100	0.0939	18.0	37.20	TRUE	0.7030	0.7450	1.450	TRUE	0.988	TRUE	0.0384	TRUE	0.2560	TRUE	0.0613	TRUE	-0.0143	TRUE	0.0598	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	12.51	95.5	46.8	4.7	cover
2019-12-11	TRUE	MOS2	EOF	MOS	FBM	0.0953	40	0.1312	897.5	1520.00	TRUE	2.1600	0.8280	2.990	TRUE	3.370	TRUE	-0.0040	TRUE	0.0502	TRUE	0.3280	TRUE	-0.0204	TRUE	0.3265	139910.000	0.1134	0.0707	125.5692	0.4183	0.4715	276.8299	0.9223	1.0395	14.3733	0.0479	0.0540	NA	NA	NA	NA	cover
2019-12-11	TRUE	PB	INST	NA	NA	0.0889	100	0.1080	191.0	298.00	TRUE	1.3600	0.6960	2.060	TRUE	1.230	TRUE	0.0819	TRUE	0.1430	TRUE	0.5350	TRUE	-0.0221	TRUE	0.5335	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	11.72	89.3	324.5	4.7	cover
2019-12-11	TRUE	PBR1	EOF	PBR	CCMT	0.0925	40	0.1156	577.5	979.00	TRUE	1.6500	1.3700	3.020	TRUE	3.770	TRUE	0.1470	TRUE	0.4950	TRUE	0.2880	TRUE	-0.0245	TRUE	0.2865	530854.000	0.4304	0.0986	306.5682	1.6032	2.0013	675.8602	3.5344	4.4121	12.9006	0.0675	0.0842	NA	NA	NA	NA	cover
2019-12-11	TRUE	PBR2	EOF	PBR	FBM	0.0912	40	0.1683	1927.5	1750.00	TRUE	3.0500	3.5600	6.610	TRUE	6.580	TRUE	1.0700	TRUE	0.2240	TRUE	0.9270	TRUE	-0.0162	TRUE	0.9255	118241.000	0.0959	0.0482	227.9095	0.7816	0.7780	502.4493	1.7231	1.7152	21.0318	0.0721	0.0718	NA	NA	NA	NA	cover
2019-12-11	TRUE	STU1	EOF	STU	CCMT	0.0939	40	0.1076	342.5	551.00	TRUE	0.9310	0.6210	1.550	TRUE	2.110	TRUE	0.0046	TRUE	0.1920	TRUE	0.0556	TRUE	-0.0146	TRUE	0.0541	109543.000	0.0888	0.0356	37.5185	0.1698	0.2311	82.7132	0.3743	0.5096	2.7599	0.0125	0.0170	NA	NA	NA	NA	cover
2019-12-11	TRUE	STU2	EOF	STU	FBM	0.0929	40	0.1159	575.0	821.00	TRUE	1.7900	0.5910	2.380	TRUE	2.450	TRUE	0.0024	TRUE	0.0754	TRUE	0.5370	TRUE	-0.0158	TRUE	0.5355	11197.000	0.0091	0.0069	6.4383	0.0266	0.0274	14.1938	0.0588	0.0605	0.8955	0.0037	0.0038	NA	NA	NA	NA	cover
2019-12-13	TRUE	MUR1	EOF	MUR	CCMT	0.0967	40	0.1108	352.5	531.00	TRUE	2.2900	0.9490	3.240	TRUE	3.560	TRUE	0.0946	TRUE	0.7640	TRUE	1.1500	TRUE	-0.0150	TRUE	1.1250	777972.000	0.6308	0.3976	274.2351	2.5206	2.7696	604.5788	5.5570	6.1058	31.7531	0.2919	0.3207	NA	NA	NA	NA	cover
2019-12-13	TRUE	MUR2	EOF	MUR	FBM	0.0912	20	0.1191	1395.0	2120.00	TRUE	3.2700	0.5590	3.830	TRUE	4.430	TRUE	0.0614	TRUE	0.0698	TRUE	0.3610	TRUE	-0.0200	TRUE	0.3360	491969.000	0.3989	0.2935	686.2968	1.8842	2.1794	1513.0098	4.1540	4.8048	93.8010	0.2575	0.2979	NA	NA	NA	NA	cover
2019-12-13	TRUE	SCH1	EOF	SCH	CCMT	0.0913	40	0.0980	167.5	197.00	TRUE	1.5700	1.9000	3.470	TRUE	3.350	TRUE	0.6270	TRUE	1.0900	TRUE	0.4880	TRUE	0.0019	TRUE	0.4630	82062.000	0.0665	0.0769	13.7454	0.2848	0.2749	30.3031	0.6278	0.6061	2.9194	0.0605	0.0584	NA	NA	NA	NA	cover
2019-12-13	TRUE	SIM1	EOF	SIM	CCMT	0.0903	40	0.0999	240.0	369.00	TRUE	1.0300	0.8930	1.920	TRUE	1.200	TRUE	0.0554	TRUE	0.0363	TRUE	0.2630	TRUE	-0.0151	TRUE	0.2380	323276.000	0.2621	0.2201	77.5862	0.6207	0.3879	171.0466	1.3684	0.8552	11.9697	0.0958	0.0598	NA	NA	NA	NA	cover
2019-12-17	TRUE	ARR1	EOF	ARR	CCMT	0.0928	40	0.1426	1245.0	1920.00	TRUE	2.1400	0.9100	3.050	TRUE	4.930	TRUE	0.0767	TRUE	0.0480	TRUE	0.0961	TRUE	-0.0107	TRUE	0.0946	266359.000	0.2160	0.3306	331.6170	0.8124	1.3131	731.0827	1.7910	2.8950	93.2503	0.2284	0.3693	NA	NA	NA	NA	cover
2019-12-17	TRUE	ARR2	EOF	ARR	FBM	0.0946	40	0.1721	1937.5	3720.00	TRUE	3.7000	1.1200	4.820	TRUE	8.120	TRUE	0.0518	TRUE	0.0562	TRUE	0.1010	TRUE	-0.0164	TRUE	0.0995	212853.000	0.1726	0.2984	412.4027	1.0260	1.7284	909.1830	2.2618	3.8104	131.0062	0.3259	0.5490	NA	NA	NA	NA	cover
2019-12-17	TRUE	DCDC1	EOF	DCDC	CCMT	0.0911	50	0.1176	530.0	880.00	TRUE	1.2560	1.3400	2.610	TRUE	2.860	TRUE	0.0874	TRUE	0.3310	TRUE	0.1520	TRUE	-0.0132	TRUE	0.1505	1400704.000	1.1357	0.6704	742.3731	3.6558	4.0060	1636.6358	8.0597	8.8317	80.5035	0.3964	0.4344	NA	NA	NA	NA	cover
2019-12-17	TRUE	DCDC2	EOF	DCDC	FBM	0.0902	40	0.1224	805.0	1390.00	TRUE	1.8500	0.9060	2.760	TRUE	3.910	TRUE	0.0467	TRUE	0.1830	TRUE	0.1430	TRUE	-0.0122	TRUE	0.1415	888963.000	0.7208	0.4173	715.6152	2.4535	3.4758	1577.6453	5.4091	7.6628	76.1045	0.2609	0.3697	NA	NA	NA	NA	cover
2019-12-17	TRUE	HB	INST	NA	NA	0.0923	100	0.0979	56.0	68.00	TRUE	0.7770	0.8310	1.610	TRUE	1.150	TRUE	0.1360	TRUE	0.2190	TRUE	0.0545	TRUE	-0.0127	TRUE	0.0530	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	11.80	93.4	86.6	5.7	cover
2019-12-17	TRUE	MOS1	EOF	MOS	CCMT	0.0930	30	0.3471	8470.0	9730.00	TRUE	8.9400	4.4100	13.400	TRUE	19.200	TRUE	0.0864	TRUE	0.1020	TRUE	0.7060	TRUE	-0.0151	TRUE	0.7045	293107.000	0.2377	0.1483	2482.6163	3.9276	5.6277	5473.1759	8.6589	12.4067	284.6165	0.4503	0.6452	NA	NA	NA	NA	cover
2019-12-17	TRUE	MOS2	EOF	MOS	FBM	0.0915	30	0.1631	2386.7	3120.00	TRUE	3.7100	1.4000	5.110	TRUE	7.240	TRUE	0.1130	TRUE	0.1640	TRUE	0.4850	TRUE	-0.0147	TRUE	0.4835	33324.000	0.0270	0.0168	79.5333	0.1703	0.2413	175.3391	0.3754	0.5319	9.1038	0.0195	0.0276	NA	NA	NA	NA	cover
2019-12-17	TRUE	PB	INST	NA	NA	0.0914	50	0.1194	560.0	968.00	TRUE	2.1600	0.5870	2.750	TRUE	3.030	TRUE	0.2480	TRUE	0.2330	TRUE	0.6640	TRUE	-0.0117	TRUE	0.6625	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	10.71	84.9	961.9	5.8	cover
2019-12-17	TRUE	PBR1	EOF	PBR	CCMT	0.0920	40	0.1281	902.5	1110.00	TRUE	1.7000	1.2900	2.990	TRUE	6.130	TRUE	0.1330	TRUE	0.4990	TRUE	0.1280	TRUE	-0.0146	TRUE	0.1265	490272.000	0.3975	0.0911	442.4705	1.4659	3.0054	975.4704	3.2318	6.6256	18.6194	0.0617	0.1265	NA	NA	NA	NA	cover
2019-12-17	TRUE	PBR2	EOF	PBR	FBM	0.0894	40	0.2267	3432.5	2470.00	TRUE	3.2300	2.6100	5.850	TRUE	11.100	TRUE	0.5920	TRUE	0.3470	TRUE	0.4280	TRUE	0.0241	TRUE	0.4039	29123.000	0.0236	0.0119	99.9647	0.1704	0.3233	220.3822	0.3756	0.7127	9.2249	0.0157	0.0298	NA	NA	NA	NA	cover
2019-12-17	TRUE	STU1	EOF	STU	CCMT	0.0910	40	0.1224	785.0	1030.00	TRUE	1.5800	0.0961	2.550	TRUE	3.650	TRUE	0.0589	TRUE	0.1210	TRUE	0.0428	TRUE	-0.0136	TRUE	0.0413	249586.000	0.2024	0.0810	195.9250	0.6364	0.9110	431.9363	1.4031	2.0084	14.4123	0.0468	0.0670	NA	NA	NA	NA	cover
2019-12-17	TRUE	STU2	EOF	STU	FBM	0.0919	40	0.1490	1427.5	1910.00	TRUE	3.0100	0.6840	3.690	TRUE	5.750	TRUE	0.0519	TRUE	0.1820	TRUE	0.4530	TRUE	-0.0145	TRUE	0.4515	47062.000	0.0382	0.0289	67.1810	0.1737	0.2706	148.1072	0.3828	0.5966	9.3443	0.0242	0.0376	NA	NA	NA	NA	cover
2020-01-12	TRUE	ARR1	EOF	ARR	CCMT	0.0911	40	0.1292	952.5	1540.00	TRUE	1.8800	0.8780	2.760	TRUE	4.070	TRUE	0.0875	TRUE	0.0634	TRUE	0.0613	TRUE	-0.0192	TRUE	0.0598	682998.000	0.5538	0.8477	650.5556	1.8851	2.7798	1434.2149	4.1558	6.1284	182.9356	0.5301	0.7817	NA	NA	NA	NA	cover
2020-01-12	TRUE	ARR2	EOF	ARR	FBM	0.0922	40	0.1758	2090.0	3430.00	TRUE	3.1700	0.8490	4.020	TRUE	7.090	TRUE	0.1840	TRUE	0.0760	TRUE	0.0862	TRUE	-0.0283	TRUE	0.0847	212398.000	0.1722	0.2978	443.9118	0.8538	1.5059	978.6480	1.8824	3.3199	141.0156	0.2712	0.4784	NA	NA	NA	NA	cover
2020-01-12	TRUE	DCDC1	EOF	DCDC	CCMT	0.0909	40	0.1098	472.5	742.00	TRUE	0.9010	0.9320	1.830	TRUE	3.170	TRUE	0.2280	TRUE	0.2580	TRUE	0.0993	TRUE	-0.0234	TRUE	0.0978	2533613.000	2.0544	1.2126	1197.1321	4.6365	8.0316	2639.1975	10.2217	17.7064	129.8179	0.5028	0.8709	NA	NA	NA	NA	cover
2020-01-12	TRUE	DCDC2	EOF	DCDC	FBM	0.0928	40	0.1132	510.0	823.00	TRUE	1.1100	0.7190	1.830	TRUE	3.170	TRUE	0.1460	TRUE	0.2090	TRUE	0.1190	TRUE	-0.0245	TRUE	0.1175	2470440.000	2.0031	1.1596	1259.9244	4.5209	7.8313	2777.6293	9.9668	17.2649	133.9908	0.4808	0.8328	NA	NA	NA	NA	cover
2020-01-12	TRUE	HB	INST	NA	NA	0.0894	100	0.0921	27.0	61.30	TRUE	0.5810	0.5560	1.140	TRUE	1.130	TRUE	0.0228	TRUE	0.2100	TRUE	0.0716	TRUE	-0.0204	TRUE	0.0701	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	10.94	92.5	73.2	8.4	cover
2020-01-12	TRUE	MOS2	EOF	MOS	FBM	0.0935	40	0.1580	1612.5	1820.00	TRUE	2.4000	0.7230	3.120	TRUE	5.780	TRUE	0.0854	TRUE	0.1250	TRUE	0.3360	TRUE	-0.0050	TRUE	0.3345	51849.000	0.0420	0.0262	83.6065	0.1618	0.2997	184.3189	0.3566	0.6607	9.5700	0.0185	0.0343	NA	NA	NA	NA	cover
2020-01-12	TRUE	PB	INST	NA	NA	0.0919	50	0.1198	558.0	974.00	TRUE	1.7800	0.3260	2.110	TRUE	3.110	TRUE	0.8780	TRUE	0.1290	TRUE	0.4600	TRUE	-0.0184	TRUE	0.4585	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	9.58	83.9	914.0	9.9	cover
2020-01-12	TRUE	PBR1	EOF	PBR	CCMT	0.0928	40	0.1215	717.5	766.00	TRUE	1.0100	0.7920	1.800	TRUE	3.730	TRUE	0.1280	TRUE	0.2250	TRUE	0.0948	TRUE	-0.0246	TRUE	0.0933	288761.000	0.2341	0.0536	207.1860	0.5198	1.0771	456.7623	1.1459	2.3745	8.7185	0.0219	0.0453	NA	NA	NA	NA	cover
2020-01-12	TRUE	STU1	EOF	STU	CCMT	0.0901	40	0.1126	562.5	880.00	TRUE	1.1700	0.2810	1.450	TRUE	3.040	TRUE	0.2770	TRUE	0.1040	TRUE	0.0638	TRUE	-0.0264	TRUE	0.0623	828662.000	0.6719	0.2690	466.1224	1.2016	2.5191	1027.6134	2.6490	5.5537	34.2881	0.0884	0.1853	NA	NA	NA	NA	cover
2020-01-12	TRUE	STU2	EOF	STU	FBM	0.0928	40	0.1355	1067.5	1570.00	TRUE	1.8100	0.5850	2.400	TRUE	5.190	TRUE	0.2020	TRUE	0.1430	TRUE	0.1200	TRUE	-0.0124	TRUE	0.1185	453793.000	0.3680	0.2786	484.4240	1.0891	2.3552	1067.9612	2.4010	5.1922	67.3793	0.1515	0.3276	NA	NA	NA	NA	cover
2020-01-13	TRUE	SCH1	EOF	SCH	CCMT	0.0915	40	0.1185	675.0	682.00	TRUE	1.2800	1.2900	2.570	TRUE	3.910	TRUE	0.1290	TRUE	0.4210	TRUE	0.1520	TRUE	-0.0204	TRUE	0.1270	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	cover
2020-01-16	TRUE	ARR1	EOF	ARR	CCMT	0.0926	40	0.1232	765.0	1300.00	TRUE	1.4200	0.5270	1.940	TRUE	2.780	TRUE	0.0644	TRUE	0.0426	TRUE	0.0764	TRUE	-0.0243	TRUE	0.0749	1263704.000	1.0247	1.5684	966.7336	2.4516	3.5131	2131.2608	5.4048	7.7450	271.8445	0.6894	0.9879	NA	NA	NA	NA	cover
2020-01-16	TRUE	ARR2	EOF	ARR	FBM	0.0903	40	0.1399	1240.0	1760.00	TRUE	1.3200	3.5600	4.880	TRUE	4.340	TRUE	0.0335	TRUE	0.0641	TRUE	0.0510	TRUE	-0.0234	TRUE	0.0495	483358.000	0.3919	0.6777	599.3639	2.3588	2.0978	1321.3577	5.2002	4.6248	190.3974	0.7493	0.6664	NA	NA	NA	NA	cover
2020-01-16	TRUE	DCDC1	EOF	DCDC	CCMT	0.0929	80	0.1164	293.8	458.00	TRUE	0.0750	1.6800	1.760	TRUE	1.760	TRUE	0.0387	TRUE	0.1830	TRUE	0.0723	TRUE	-0.0247	TRUE	0.0708	1549805.000	1.2566	0.7417	455.2552	2.7277	2.7277	1003.6557	6.0134	6.0134	49.3682	0.2958	0.2958	NA	NA	NA	NA	cover
2020-01-16	TRUE	DCDC2	EOF	DCDC	FBM	0.0913	40	0.1072	397.5	684.00	TRUE	0.8820	0.6400	1.520	TRUE	2.060	TRUE	0.1090	TRUE	0.1350	TRUE	0.0709	TRUE	-0.0282	TRUE	0.0694	1522503.000	1.2345	0.7146	605.1949	2.3142	3.1364	1334.2128	5.1019	6.9144	64.3614	0.2461	0.3335	NA	NA	NA	NA	cover
2020-01-16	TRUE	HB	INST	NA	NA	0.0958	100	0.0992	34.0	82.70	TRUE	0.6780	0.1170	0.794	TRUE	1.330	TRUE	0.0949	TRUE	0.1620	TRUE	0.1090	TRUE	-0.0218	TRUE	0.1075	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	9.11	85.6	100.4	13.3	cover
2020-01-16	TRUE	MOS2	EOF	MOS	FBM	0.0952	40	0.1447	1237.5	1880.00	TRUE	2.4300	0.6620	3.100	TRUE	6.110	TRUE	0.0452	TRUE	0.0863	TRUE	0.2410	TRUE	-0.0242	TRUE	0.2395	118005.000	0.0957	0.0596	146.0312	0.3658	0.7210	321.9404	0.8065	1.5895	16.7155	0.0419	0.0825	NA	NA	NA	NA	cover
2020-01-16	TRUE	PB	INST	NA	NA	0.0958	40	0.1043	212.5	384.00	TRUE	1.0100	0.4490	1.460	TRUE	1.790	TRUE	0.1300	TRUE	0.1790	TRUE	0.1850	TRUE	-0.0200	TRUE	0.1835	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	7.00	68.6	564.9	15.2	cover
2020-01-16	TRUE	PBR1	EOF	PBR	CCMT	0.0920	40	0.1158	595.0	920.00	TRUE	1.1500	1.1700	2.310	TRUE	2.820	TRUE	0.0704	TRUE	0.1710	TRUE	0.1230	TRUE	-0.0236	TRUE	0.1215	1706806.000	1.3839	0.3170	1015.5496	3.9427	4.8132	2238.8806	8.6921	10.6112	42.7349	0.1659	0.2025	NA	NA	NA	NA	cover
2020-01-16	TRUE	SCH1	EOF	SCH	CCMT	0.0904	40	0.1691	1967.5	2200.00	TRUE	2.7800	2.6100	5.400	TRUE	7.460	TRUE	0.0355	TRUE	0.2580	TRUE	0.1200	TRUE	-0.0220	TRUE	0.0950	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	cover
2020-01-16	TRUE	SCH2	EOF	SCH	FBM	0.0928	40	0.2181	3132.5	2580.00	TRUE	3.5900	2.3100	5.900	TRUE	9.580	TRUE	-0.0593	TRUE	0.3070	TRUE	0.2550	TRUE	-0.0218	TRUE	0.2300	749300.000	0.6076	0.7994	2347.1822	4.4209	7.1783	5174.5980	9.7463	15.8253	567.3901	1.0687	1.7352	NA	NA	NA	NA	cover
2020-01-16	TRUE	STU1	EOF	STU	CCMT	0.0935	40	0.1191	640.0	869.00	TRUE	1.1700	0.6060	1.770	TRUE	2.380	TRUE	0.0200	TRUE	0.0754	TRUE	0.0622	TRUE	-0.0233	TRUE	0.0607	1691925.000	1.3719	0.5493	1082.8320	2.9947	4.0268	2387.2114	6.6021	8.8774	79.6534	0.2203	0.2962	NA	NA	NA	NA	cover
2020-01-16	TRUE	STU2	EOF	STU	FBM	0.0934	40	0.1269	837.5	1160.00	TRUE	1.7300	0.5690	2.300	TRUE	3.650	TRUE	0.0551	TRUE	0.0988	TRUE	0.1950	TRUE	-0.0237	TRUE	0.1935	336275.000	0.2727	0.2064	281.6303	0.7734	1.2274	620.8822	1.7051	2.7059	39.1724	0.1076	0.1707	NA	NA	NA	NA	cover
2020-01-21	TRUE	CAR1	EOF	CAR	CCMT	0.0940	40	0.0980	100.0	144.00	TRUE	0.7910	0.8820	1.670	TRUE	1.190	TRUE	0.0647	TRUE	0.0644	TRUE	0.0361	TRUE	-0.0194	TRUE	0.0111	873896.000	0.7086	0.3803	87.3896	1.4594	1.0399	192.6591	3.2174	2.2926	8.6162	0.1439	0.1025	NA	NA	NA	NA	cover
2020-01-21	TRUE	CAR2	EOF	CAR	FBM	0.0941	40	0.1091	375.0	526.00	TRUE	1.1600	1.2900	2.440	TRUE	2.260	TRUE	0.0187	TRUE	0.1170	TRUE	0.2290	TRUE	-0.0226	TRUE	0.2040	359533.000	0.2915	0.1495	134.8249	0.8773	0.8125	297.2349	1.9340	1.7913	12.7023	0.0826	0.0766	NA	NA	NA	NA	cover
2020-01-21	TRUE	MUR1	EOF	MUR	CCMT	0.0921	40	0.1081	400.0	593.00	TRUE	2.2800	1.2900	3.580	TRUE	3.560	TRUE	0.0932	TRUE	0.4460	TRUE	1.1000	TRUE	-0.0219	TRUE	1.0750	145011.000	0.1176	0.0741	58.0044	0.5191	0.5162	127.8765	1.1445	1.1381	6.7162	0.0601	0.0598	NA	NA	NA	NA	cover
2020-01-21	TRUE	MUR2	EOF	MUR	FBM	0.0939	40	0.1808	2172.5	3960.00	TRUE	4.4300	-0.4900	3.940	TRUE	8.740	TRUE	0.0509	TRUE	0.1240	TRUE	0.2550	TRUE	-0.0242	TRUE	0.2300	192573.000	0.1561	0.1149	418.3648	0.7587	1.6831	922.3271	1.6727	3.7105	57.1809	0.1037	0.2300	NA	NA	NA	NA	cover
2020-01-21	TRUE	SCH1	EOF	SCH	CCMT	0.0939	40	0.0980	102.5	191.00	TRUE	1.0100	0.9670	1.980	TRUE	2.470	TRUE	0.0685	TRUE	0.3930	TRUE	0.0642	TRUE	-0.0181	TRUE	0.0392	48586.000	0.0394	0.0455	4.9801	0.0962	0.1200	10.9791	0.2121	0.2646	1.0577	0.0204	0.0255	NA	NA	NA	NA	cover
2020-01-21	TRUE	SCH2	EOF	SCH	FBM	0.0940	40	0.1561	1552.5	1420.00	TRUE	2.7600	1.4500	4.210	TRUE	7.430	TRUE	-0.0847	TRUE	0.3240	TRUE	0.3180	TRUE	-0.0221	TRUE	0.2930	270637.000	0.2194	0.2887	420.1639	1.1394	2.0108	926.2934	2.5119	4.4331	101.5673	0.2754	0.4861	NA	NA	NA	NA	cover
2020-01-24	TRUE	CAR1	EOF	CAR	CCMT	0.0917	40	0.0960	107.5	97.80	TRUE	0.6030	0.3530	0.955	TRUE	0.760	TRUE	0.1320	TRUE	0.0452	TRUE	0.1110	TRUE	-0.0221	TRUE	0.0860	682002.000	0.5530	0.2968	73.3152	0.6513	0.5183	161.6307	1.4359	1.1427	7.2286	0.0642	0.0511	NA	NA	NA	NA	cover
2020-01-24	TRUE	CAR2	EOF	CAR	FBM	0.0936	40	0.1015	197.5	317.00	TRUE	1.2000	0.2850	1.480	TRUE	1.890	TRUE	0.0330	TRUE	0.1330	TRUE	0.4170	TRUE	-0.0190	TRUE	0.3920	823519.000	0.6677	0.3424	162.6450	1.2188	1.5565	358.5672	2.6870	3.4314	15.3234	0.1148	0.1466	NA	NA	NA	NA	cover
2020-01-24	TRUE	MUR1	EOF	MUR	CCMT	0.0908	40	0.1080	430.0	565.00	TRUE	2.4100	0.5870	3.000	TRUE	3.730	TRUE	0.0518	TRUE	0.3890	TRUE	1.0800	TRUE	-0.0208	TRUE	1.0550	1679941.000	1.3622	0.8585	722.3746	5.0398	6.2662	1592.5471	11.1108	13.8144	83.6422	0.5836	0.7255	NA	NA	NA	NA	cover
2020-01-24	TRUE	MUR2	EOF	MUR	FBM	0.0930	40	0.1388	1145.0	1550.00	TRUE	3.5500	0.2590	3.290	TRUE	4.940	TRUE	0.0375	TRUE	0.1200	TRUE	1.0200	TRUE	-0.0236	TRUE	0.9950	1115637.000	0.9046	0.6656	1277.4044	3.6704	5.5112	2816.1657	8.0919	12.1501	174.5918	0.5017	0.7533	NA	NA	NA	NA	cover
2020-01-24	TRUE	SCH1	EOF	SCH	CCMT	0.0922	40	0.0963	102.5	129.00	TRUE	0.6480	0.4590	1.110	TRUE	2.090	TRUE	0.0224	TRUE	0.3030	TRUE	0.0461	TRUE	-0.0197	TRUE	0.0211	645121.000	0.5231	0.6047	66.1249	0.7161	1.3483	145.7790	1.5787	2.9725	14.0442	0.1521	0.2864	NA	NA	NA	NA	cover
2020-01-24	TRUE	SCH2	EOF	SCH	FBM	0.0939	40	0.1118	447.5	485.00	TRUE	1.1600	1.3200	2.480	TRUE	3.770	TRUE	-0.0179	TRUE	0.5040	TRUE	0.2000	TRUE	-0.0215	TRUE	0.1750	1211855.000	0.9826	1.2929	542.3051	3.0054	4.5687	1195.5659	6.6257	10.0721	131.0927	0.7265	1.1044	NA	NA	NA	NA	cover
2020-01-24	TRUE	SIM1	EOF	SIM	CCMT	0.0929	40	0.1003	185.0	279.00	TRUE	0.7490	0.1420	0.892	TRUE	0.916	TRUE	0.0121	TRUE	0.0387	TRUE	0.1050	TRUE	-0.0241	TRUE	0.0800	1009846.000	0.8188	0.6876	186.8215	0.9008	0.9250	411.8667	1.9859	2.0393	28.8220	0.1390	0.1427	NA	NA	NA	NA	cover
2020-01-24	TRUE	SIM2	EOF	SIM	FBM	0.0928	40	0.1080	380.0	568.00	TRUE	1.7400	0.1730	1.910	TRUE	1.500	TRUE	-0.0190	TRUE	0.0507	TRUE	0.8940	TRUE	-0.0199	TRUE	0.8690	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	cover
2020-01-25	TRUE	ARR1	EOF	ARR	CCMT	0.0899	40	0.1114	537.5	836.00	TRUE	1.2100	2.4400	3.640	TRUE	2.820	TRUE	-0.0020	TRUE	0.0838	TRUE	0.0813	TRUE	-0.0258	TRUE	0.0798	1047819.000	0.8496	1.3004	563.2027	3.8141	2.9548	1241.6367	8.4085	6.5143	158.3720	1.0725	0.8309	NA	NA	NA	NA	cover
2020-01-25	TRUE	ARR2	EOF	ARR	FBM	0.0933	40	0.1326	982.5	1470.00	TRUE	1.8700	3.3200	5.190	TRUE	4.580	TRUE	-0.0087	TRUE	0.0793	TRUE	0.1980	TRUE	-0.0241	TRUE	0.1965	289880.000	0.2350	0.4064	284.8071	1.5045	1.3277	627.8857	3.3168	2.9269	90.4734	0.4779	0.4217	NA	NA	NA	NA	cover
2020-01-25	TRUE	DCDC1	EOF	DCDC	CCMT	0.0948	40	0.1034	215.0	266.00	TRUE	0.5450	1.0300	1.580	TRUE	1.720	TRUE	-0.0099	TRUE	0.1960	TRUE	0.0748	TRUE	-0.0237	TRUE	0.0733	1771110.000	1.4361	0.8477	380.7887	2.7984	3.0463	839.4867	6.1693	6.7159	41.2930	0.3035	0.3303	NA	NA	NA	NA	cover
2020-01-25	TRUE	DCDC2	EOF	DCDC	FBM	0.0918	40	0.1047	322.5	453.00	TRUE	0.9020	0.6670	1.570	TRUE	2.110	TRUE	-0.0210	TRUE	0.1230	TRUE	0.1690	TRUE	-0.0210	TRUE	0.1675	2008008.000	1.6282	0.9425	647.5826	3.1526	4.2369	1427.6606	6.9502	9.3407	68.8693	0.3353	0.4506	NA	NA	NA	NA	cover
2020-01-25	TRUE	MOS2	EOF	MOS	FBM	0.0942	40	0.1286	860.0	1140.00	TRUE	1.9500	0.0320	1.980	TRUE	3.940	TRUE	0.0236	TRUE	0.0741	TRUE	0.4650	TRUE	-0.0215	TRUE	0.4635	152424.000	0.1236	0.0770	131.0846	0.3018	0.6006	288.9892	0.6653	1.3240	15.0046	0.0345	0.0687	NA	NA	NA	NA	cover
2020-01-25	TRUE	PBR1	EOF	PBR	CCMT	0.0936	40	0.1141	512.5	665.00	TRUE	0.9020	1.5700	2.470	TRUE	3.370	TRUE	0.0277	TRUE	0.1200	TRUE	0.1190	TRUE	-0.0239	TRUE	0.1175	397629.000	0.3224	0.0738	203.7849	0.9821	1.3400	449.2641	2.1652	2.9542	8.5754	0.0413	0.0564	NA	NA	NA	NA	cover
2020-01-25	TRUE	PBR2	EOF	PBR	FBM	0.0930	40	0.1429	1247.5	1200.00	TRUE	2.8300	1.6400	4.460	TRUE	6.470	TRUE	0.0919	TRUE	0.2500	TRUE	0.9550	TRUE	-0.0216	TRUE	0.9535	48859.000	0.0396	0.0199	60.9516	0.2179	0.3161	134.3739	0.4804	0.6969	5.6247	0.0201	0.0292	NA	NA	NA	NA	cover
2020-01-25	TRUE	STU1	EOF	STU	CCMT	0.0935	40	0.1173	595.0	818.00	TRUE	1.4300	0.6220	2.050	TRUE	3.310	TRUE	0.0335	TRUE	0.0711	TRUE	0.0468	TRUE	-0.0214	TRUE	0.0453	1014040.000	0.8222	0.3292	603.3538	2.0788	3.3565	1330.1538	4.5829	7.3997	44.3828	0.1529	0.2469	NA	NA	NA	NA	cover
2020-01-25	TRUE	STU2	EOF	STU	FBM	0.0937	40	0.1380	1107.5	1460.00	TRUE	2.1400	2.9300	5.060	TRUE	4.940	TRUE	-0.0168	TRUE	0.1290	TRUE	0.2150	TRUE	-0.0269	TRUE	0.2135	754536.000	0.6118	0.4632	835.6486	3.8180	3.7274	1842.2709	8.4171	8.2174	116.2316	0.5310	0.5185	NA	NA	NA	NA	cover
2020-02-06	TRUE	ARR1	EOF	ARR	CCMT	0.0920	40	0.1417	1242.5	1410.00	TRUE	2.0100	1.5700	3.580	TRUE	4.360	TRUE	0.2040	TRUE	0.0251	TRUE	0.1830	TRUE	-0.0083	TRUE	0.1815	125550.000	0.1018	0.1558	155.9959	0.4495	0.5474	343.9085	0.9909	1.2068	43.8659	0.1264	0.1539	NA	NA	NA	NA	cover
2020-02-06	TRUE	ARR2	EOF	ARR	FBM	0.0948	40	0.1384	1090.0	1640.00	TRUE	1.9200	1.1000	3.020	TRUE	4.440	TRUE	0.1120	TRUE	0.0321	TRUE	0.0557	TRUE	-0.0177	TRUE	0.0542	77301.000	0.0627	0.1084	84.2581	0.2334	0.3432	185.7554	0.5147	0.7567	26.7659	0.0742	0.1090	NA	NA	NA	NA	cover
2020-02-06	TRUE	DCDC1	EOF	DCDC	CCMT	0.0932	40	0.0982	125.0	155.00	TRUE	0.5250	0.7280	1.250	TRUE	0.985	TRUE	0.0476	TRUE	0.0658	TRUE	0.0545	TRUE	-0.0246	TRUE	0.0530	46180.000	0.0374	0.0221	5.7725	0.0577	0.0455	12.7261	0.1273	0.1003	0.6260	0.0063	0.0049	NA	NA	NA	NA	cover
2020-02-06	TRUE	DCDC2	EOF	DCDC	FBM	0.0950	40	0.1454	1260.0	1220.00	TRUE	1.7500	1.3500	3.110	TRUE	4.310	TRUE	0.0181	TRUE	0.0249	TRUE	0.0786	TRUE	-0.0236	TRUE	0.0771	111167.000	0.0901	0.0522	140.0704	0.3457	0.4791	308.7992	0.7622	1.0563	14.8962	0.0368	0.0510	NA	NA	NA	NA	cover
2020-02-06	TRUE	HB	INST	NA	NA	0.0937	40	0.0960	57.5	96.50	TRUE	0.5590	0.5800	1.140	TRUE	0.830	TRUE	0.0075	TRUE	0.0926	TRUE	0.0863	TRUE	-0.0234	TRUE	0.0848	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	11.44	97.5	118.1	7.8	cover
2020-02-06	TRUE	MOS1	EOF	MOS	CCMT	0.0917	40	0.1409	1230.0	1470.00	TRUE	2.3900	1.3500	3.740	TRUE	6.150	TRUE	-0.0001	TRUE	0.0673	TRUE	0.4660	TRUE	-0.0312	TRUE	0.4645	115767.000	0.0939	0.0586	142.3934	0.4330	0.7120	313.9205	0.9545	1.5696	16.3245	0.0496	0.0816	NA	NA	NA	NA	cover
2020-02-06	TRUE	MOS2	EOF	MOS	FBM	0.0944	40	0.1596	1630.0	1980.00	TRUE	2.8400	0.7760	3.620	TRUE	5.990	TRUE	0.0096	TRUE	0.0247	TRUE	0.3240	TRUE	-0.0286	TRUE	0.3225	72173.000	0.0585	0.0365	117.6420	0.2613	0.4323	259.3535	0.5760	0.9531	13.4659	0.0299	0.0495	NA	NA	NA	NA	cover
2020-02-06	TRUE	PB	INST	NA	NA	0.0920	40	0.1014	235.0	383.00	TRUE	0.9270	0.8330	1.760	TRUE	1.630	TRUE	0.0419	TRUE	0.1090	TRUE	0.2820	TRUE	-0.0279	TRUE	0.2805	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	9.99	84.4	391.2	7.6	cover
2020-02-06	TRUE	PBR1	EOF	PBR	CCMT	0.0930	40	0.1258	820.0	1170.00	TRUE	1.5100	0.8820	2.400	TRUE	4.230	TRUE	0.0603	TRUE	0.1030	TRUE	0.1430	TRUE	-0.0184	TRUE	0.1415	1352996.000	1.0971	0.2513	1109.4567	3.2472	5.7232	2445.9083	7.1588	12.6173	46.6865	0.1366	0.2408	NA	NA	NA	NA	cover
2020-02-06	TRUE	PBR2	EOF	PBR	FBM	0.0925	40	0.1186	652.5	981.00	TRUE	1.2400	1.4000	2.640	TRUE	3.810	TRUE	0.0027	TRUE	0.0777	TRUE	0.1440	TRUE	-0.0161	TRUE	0.1425	120774.000	0.0979	0.0492	78.8050	0.3188	0.4601	173.7336	0.7029	1.0144	7.2722	0.0294	0.0425	NA	NA	NA	NA	cover
2020-02-06	TRUE	STU1	EOF	STU	CCMT	0.0931	40	0.1125	485.0	947.00	TRUE	1.1600	0.1170	1.280	TRUE	2.230	TRUE	0.0002	TRUE	0.0380	TRUE	0.0500	TRUE	-0.0182	TRUE	0.0485	799392.000	0.6482	0.2595	387.7051	1.0232	1.7826	854.7347	2.2558	3.9300	28.5197	0.0753	0.1311	NA	NA	NA	NA	cover
2020-02-06	TRUE	STU2	EOF	STU	FBM	0.0919	40	0.1335	1040.0	1300.00	TRUE	2.1700	0.6320	2.800	TRUE	4.120	TRUE	0.0374	TRUE	0.0850	TRUE	0.2760	TRUE	-0.0224	TRUE	0.2745	260040.000	0.2109	0.1596	270.4416	0.7281	1.0714	596.2156	1.6052	2.3619	37.6161	0.1013	0.1490	NA	NA	NA	NA	cover
2020-02-08	TRUE	CAR1	EOF	CAR	CCMT	0.0934	30	0.0970	120.0	54.00	TRUE	0.5970	1.4400	2.040	TRUE	0.808	TRUE	0.0297	TRUE	0.0495	FALSE	0.0352	TRUE	-0.0180	TRUE	0.0102	425545.000	0.3450	0.1852	51.0654	0.8681	0.3438	112.5788	1.9138	0.7580	5.0348	0.0856	0.0339	NA	NA	NA	NA	cover
2020-02-08	TRUE	CAR2	EOF	CAR	FBM	0.0939	30	0.1002	210.0	251.00	TRUE	1.5200	0.6370	2.160	TRUE	1.370	TRUE	0.0182	TRUE	0.0483	FALSE	0.6660	TRUE	-0.0232	TRUE	0.6410	649372.000	0.5265	0.2700	136.3681	1.4026	0.8896	300.6372	3.0923	1.9613	12.8477	0.1321	0.0838	NA	NA	NA	NA	cover
2020-02-08	TRUE	MUR1	EOF	MUR	CCMT	0.0928	30	0.1550	2073.3	2530.00	TRUE	3.7700	0.1550	3.930	TRUE	9.830	TRUE	0.0427	TRUE	0.1100	FALSE	0.3750	TRUE	-0.0221	TRUE	0.3500	1942390.000	1.5750	0.9926	4027.2219	7.6336	19.0937	8878.4135	16.8290	42.0940	466.3032	0.8839	2.2108	NA	NA	NA	NA	cover
2020-02-08	TRUE	MUR2	EOF	MUR	FBM	0.0934	30	0.1535	2003.3	3180.00	TRUE	3.7700	3.3100	7.070	TRUE	8.830	TRUE	0.0192	TRUE	0.0750	FALSE	0.2620	TRUE	-0.0156	TRUE	0.2370	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	cover
2020-02-08	TRUE	SCH1	EOF	SCH	CCMT	0.0914	30	0.1085	570.0	530.00	TRUE	1.2400	1.0500	2.290	TRUE	3.400	TRUE	0.0102	TRUE	0.1830	FALSE	0.0417	TRUE	-0.0179	TRUE	0.0167	620733.000	0.5033	0.5819	353.8178	1.4215	2.1105	780.0267	3.1338	4.6528	75.1471	0.3019	0.4482	NA	NA	NA	NA	cover
2020-02-08	TRUE	SCH2	EOF	SCH	FBM	0.0924	30	0.2076	3840.0	2360.00	TRUE	3.4700	3.4200	6.890	TRUE	13.200	TRUE	0.0450	TRUE	0.2750	FALSE	0.1300	TRUE	-0.0144	TRUE	0.1050	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	cover
2020-02-08	TRUE	SIM1	EOF	SIM	CCMT	0.0933	30	0.1077	480.0	822.00	TRUE	1.0200	0.4300	1.450	TRUE	1.950	TRUE	0.1510	TRUE	0.0174	FALSE	0.0659	TRUE	-0.0199	TRUE	0.0409	851901.000	0.6908	0.5801	408.9125	1.2353	1.6612	901.4885	2.7232	3.6623	63.0853	0.1906	0.2563	NA	NA	NA	NA	cover
2020-02-08	TRUE	SIM2	EOF	SIM	FBM	0.0953	30	0.1183	766.7	913.00	TRUE	1.3400	0.4610	1.800	TRUE	2.540	TRUE	0.0009	TRUE	0.0056	FALSE	0.2030	TRUE	-0.0243	TRUE	0.1780	1194057.000	0.9682	0.6605	915.4437	2.1493	3.0329	2018.1872	4.7384	6.6863	114.7349	0.2694	0.3801	NA	NA	NA	NA	cover
2020-02-19	TRUE	DCDC1	EOF	DCDC	CCMT	0.0939	40	0.1450	1277.5	2030.00	TRUE	2.4100	3.1300	5.540	TRUE	5.700	TRUE	0.0930	TRUE	0.1670	FALSE	0.1350	TRUE	-0.0176	TRUE	0.1335	678096.000	0.5498	0.3245	866.2676	3.7567	3.8651	1909.7736	8.2819	8.5211	93.9387	0.4074	0.4191	NA	NA	NA	NA	cover
2020-02-19	TRUE	DCDC2	EOF	DCDC	FBM	0.0936	40	0.1940	2510.0	4200.00	TRUE	3.9800	4.9500	8.930	TRUE	10.000	TRUE	0.0551	TRUE	0.0642	FALSE	0.2470	TRUE	-0.0191	TRUE	0.2455	254701.000	0.2065	0.1195	639.2995	2.2745	2.5470	1409.3997	5.0143	5.6151	67.9884	0.2419	0.2709	NA	NA	NA	NA	cover
2020-02-19	TRUE	HB	INST	NA	NA	0.0936	80	0.0990	67.5	96.10	TRUE	0.7180	0.8450	1.560	TRUE	1.070	TRUE	0.1010	TRUE	0.1120	FALSE	0.0545	TRUE	-0.0167	TRUE	0.0530	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	11.73	99.4	135.0	8.6	cover
2020-02-19	TRUE	PB	INST	NA	NA	0.0932	80	0.1020	110.0	188.00	TRUE	0.8070	1.2200	2.030	TRUE	1.410	TRUE	0.2430	TRUE	0.0790	FALSE	0.2660	TRUE	-0.0139	TRUE	0.2645	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	9.65	82.2	268.6	8.9	cover
2020-02-19	TRUE	PBR1	EOF	PBR	CCMT	0.0933	40	0.1260	817.5	957.00	TRUE	1.5900	1.4000	3.000	TRUE	3.070	TRUE	0.0344	TRUE	0.0876	FALSE	0.2600	TRUE	-0.0205	TRUE	0.2585	318964.000	0.2586	0.0592	260.7531	0.9569	0.9792	574.8562	2.1096	2.1588	10.9726	0.0403	0.0412	NA	NA	NA	NA	cover
2020-02-19	TRUE	PBR2	EOF	PBR	FBM	0.0963	40	0.1780	2042.5	2740.00	TRUE	2.4700	3.5100	5.970	TRUE	5.230	TRUE	0.0639	TRUE	0.0819	FALSE	0.0387	TRUE	-0.0238	TRUE	0.0372	24577.000	0.0199	0.0100	50.1985	0.1467	0.1285	110.6677	0.3235	0.2834	4.6324	0.0135	0.0119	NA	NA	NA	NA	cover
2020-02-21	TRUE	ARR1	EOF	ARR	CCMT	0.0932	40	0.1151	547.5	978.00	TRUE	1.1200	0.6860	1.810	TRUE	2.250	TRUE	-0.0021	TRUE	0.0284	TRUE	0.0256	TRUE	-0.0111	TRUE	0.0241	289053.000	0.2344	0.3587	158.2565	0.5232	0.6504	348.8923	1.1534	1.4338	44.5016	0.1471	0.1829	NA	NA	NA	NA	cover
2020-02-21	TRUE	DCDC1	EOF	DCDC	CCMT	0.0924	40	0.1027	257.5	364.00	TRUE	0.6780	0.6670	1.340	TRUE	1.760	TRUE	0.0001	TRUE	0.1590	TRUE	0.0887	TRUE	-0.0301	TRUE	0.0872	1433729.000	1.1625	0.6862	369.1852	1.9212	2.5234	813.9057	4.2355	5.5630	40.0347	0.2083	0.2736	NA	NA	NA	NA	cover
2020-02-21	TRUE	DCDC2	EOF	DCDC	FBM	0.0932	40	0.1107	437.5	689.00	TRUE	1.0600	0.6860	1.740	TRUE	2.240	TRUE	0.0130	TRUE	0.1050	TRUE	0.1360	TRUE	-0.0239	TRUE	0.1345	1439878.000	1.1675	0.6758	629.9466	2.5054	3.2253	1388.7803	5.5234	7.1106	66.9937	0.2664	0.3430	NA	NA	NA	NA	cover
2020-02-21	TRUE	HB	INST	NA	NA	0.0935	80	0.0968	41.3	59.50	TRUE	0.5600	0.5000	1.060	TRUE	0.703	TRUE	0.0483	TRUE	0.0860	TRUE	0.0661	TRUE	-0.0287	TRUE	0.0646	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	13.38	93.5	67.7	1.6	cover
2020-02-21	TRUE	MOS1	EOF	MOS	CCMT	0.0918	40	0.1187	672.5	868.00	TRUE	1.5300	1.0200	2.550	TRUE	3.680	TRUE	0.0163	TRUE	0.0963	TRUE	0.2160	TRUE	-0.0226	TRUE	0.2145	830067.000	0.6731	0.4200	558.2201	2.1167	3.0546	1230.6519	4.6664	6.7343	63.9965	0.2427	0.3502	NA	NA	NA	NA	cover
2020-02-21	TRUE	MOS2	EOF	MOS	FBM	0.0931	40	0.1410	1197.5	1610.00	TRUE	2.3000	1.0900	3.390	TRUE	4.820	TRUE	0.0215	TRUE	0.0448	TRUE	0.2760	TRUE	-0.0243	TRUE	0.2745	223941.000	0.1816	0.1131	268.1693	0.7592	1.0794	591.2061	1.6736	2.3796	30.6961	0.0869	0.1236	NA	NA	NA	NA	cover
2020-02-21	TRUE	PB	INST	NA	NA	0.0932	80	0.1121	236.3	469.00	TRUE	0.9730	0.4570	1.430	TRUE	1.610	TRUE	0.0316	TRUE	0.0518	TRUE	0.2300	TRUE	-0.0110	TRUE	0.2285	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	13.03	99.4	540.5	4.9	cover
2020-02-21	TRUE	PBR1	EOF	PBR	CCMT	0.0928	40	0.1112	460.0	674.00	TRUE	0.0941	0.9470	1.890	TRUE	1.640	TRUE	-0.0073	TRUE	0.0936	TRUE	0.1220	TRUE	-0.0167	TRUE	0.1205	1200944.000	0.9738	0.2230	552.4342	2.2698	1.9695	1217.8965	5.0040	4.3421	23.2467	0.0955	0.0829	NA	NA	NA	NA	cover
2020-02-21	TRUE	PBR2	EOF	PBR	FBM	0.0917	40	0.1145	570.0	859.00	TRUE	1.2000	1.2700	2.470	TRUE	3.230	TRUE	0.0141	TRUE	0.0744	TRUE	0.2530	TRUE	-0.0102	TRUE	0.2515	356971.000	0.2894	0.1454	203.4735	0.8817	1.1530	448.5776	1.9438	2.5419	18.7768	0.0814	0.1064	NA	NA	NA	NA	cover
2020-02-27	TRUE	CAR1	EOF	CAR	CCMT	0.0938	40	0.0960	55.0	88.90	TRUE	0.7070	2.0000	2.710	TRUE	0.903	TRUE	-0.0011	TRUE	0.0895	TRUE	0.0561	FALSE	-0.0325	TRUE	0.0311	147489.000	0.1196	0.0642	8.1119	0.3997	0.1332	17.8835	0.8812	0.2936	0.7998	0.0394	0.0131	NA	NA	NA	NA	cover
2020-02-27	TRUE	MUR1	EOF	MUR	CCMT	0.0948	40	0.1274	815.0	1050.00	TRUE	2.0700	1.1300	3.200	TRUE	4.380	TRUE	-0.0091	TRUE	0.1070	TRUE	0.2270	FALSE	-0.0329	TRUE	0.2020	407098.000	0.3301	0.2080	331.7849	1.3027	1.7831	731.4529	2.8720	3.9310	38.4166	0.1508	0.2065	NA	NA	NA	NA	cover
2020-02-27	TRUE	MUR2	EOF	MUR	FBM	0.0951	40	0.2093	2855.0	4680.00	TRUE	5.2700	0.3370	5.610	TRUE	8.930	TRUE	-0.0240	TRUE	0.0392	TRUE	0.1680	FALSE	-0.0328	TRUE	0.1430	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	cover
2020-02-27	TRUE	SCH1	EOF	SCH	CCMT	0.0921	40	0.1006	212.5	380.00	TRUE	1.0200	1.6700	2.690	TRUE	1.870	TRUE	-0.0088	TRUE	0.1130	TRUE	0.0231	FALSE	-0.0310	TRUE	-0.0019	125732.000	0.1019	0.1179	26.7181	0.3382	0.2351	58.9026	0.7456	0.5183	5.6746	0.0718	0.0499	NA	NA	NA	NA	cover
2020-02-27	TRUE	SCH2	EOF	SCH	FBM	0.0947	40	0.1295	870.0	857.00	TRUE	1.7800	2.1600	3.940	TRUE	4.400	TRUE	-0.0196	TRUE	0.1690	TRUE	0.0652	FALSE	-0.0315	TRUE	0.0402	316800.000	0.2569	0.3380	275.6160	1.2482	1.3939	607.6230	2.7518	3.0730	66.6253	0.3017	0.3370	NA	NA	NA	NA	cover
2020-02-27	TRUE	SIM1	EOF	SIM	CCMT	0.0936	40	0.0960	60.0	189.00	TRUE	0.6470	1.0100	1.660	TRUE	0.471	TRUE	0.0081	TRUE	0.0007	TRUE	0.0352	FALSE	-0.0314	TRUE	0.0102	114232.000	0.0926	0.0778	6.8539	0.1896	0.0538	15.1102	0.4180	0.1186	1.0574	0.0293	0.0083	NA	NA	NA	NA	cover
2020-02-27	TRUE	SIM2	EOF	SIM	FBM	0.0919	40	0.1309	975.0	1350.00	TRUE	1.7700	2.5100	4.280	TRUE	2.890	TRUE	-0.0397	TRUE	0.0114	TRUE	0.1140	FALSE	-0.0356	TRUE	0.0890	130336.000	0.1057	0.0721	127.0776	0.5578	0.3767	280.1553	1.2298	0.8304	15.9270	0.0699	0.0472	NA	NA	NA	NA	cover
2020-03-05	TRUE	ARR1	EOF	ARR	CCMT	0.0924	40	0.1100	440.0	692.00	TRUE	1.5300	1.1600	2.680	TRUE	2.070	TRUE	-0.0157	TRUE	0.0177	TRUE	0.0522	FALSE	-0.0312	TRUE	0.0507	142485.000	0.1155	0.1768	62.6934	0.3819	0.2949	138.2139	0.8418	0.6502	17.6293	0.1074	0.0829	NA	NA	NA	NA	cover
2020-03-05	TRUE	ARR2	EOF	ARR	FBM	0.0949	40	0.1231	705.0	1250.00	TRUE	1.5700	2.1200	3.680	TRUE	3.590	TRUE	-0.0164	TRUE	0.0427	TRUE	0.1410	FALSE	-0.0305	TRUE	0.1395	80667.000	0.0654	0.1131	56.8702	0.2969	0.2896	125.3761	0.6544	0.6384	18.0657	0.0943	0.0920	NA	NA	NA	NA	cover
2020-03-05	TRUE	CAR1	EOF	CAR	CCMT	0.0950	40	0.1022	180.0	191.00	TRUE	0.9100	2.1300	3.040	TRUE	1.670	TRUE	-0.0082	TRUE	0.0744	TRUE	0.2140	FALSE	-0.0302	TRUE	0.1890	2086630.000	1.6919	0.9080	375.5934	6.3434	3.4847	828.0332	13.9846	7.6823	37.0319	0.6254	0.3436	NA	NA	NA	NA	cover
2020-03-05	TRUE	CAR2	EOF	CAR	FBM	0.0947	40	0.1100	382.5	562.00	TRUE	1.5300	1.7200	3.250	TRUE	2.250	TRUE	-0.0047	TRUE	0.0491	TRUE	0.4200	FALSE	-0.0343	TRUE	0.3950	2255954.000	1.8292	0.9381	862.9024	7.3319	5.0759	1902.3546	16.1638	11.1903	81.2972	0.6908	0.4782	NA	NA	NA	NA	cover
2020-03-05	TRUE	DCDC1	EOF	DCDC	CCMT	0.0942	40	0.1027	212.5	327.00	TRUE	1.2600	1.2800	2.540	TRUE	1.890	TRUE	-0.0330	TRUE	0.1060	TRUE	0.3800	FALSE	-0.0314	TRUE	0.3785	575089.000	0.4663	0.2752	122.2064	1.4607	1.0869	269.4163	3.2203	2.3962	13.2522	0.1584	0.1179	NA	NA	NA	NA	cover
2020-03-05	TRUE	DCDC2	EOF	DCDC	FBM	0.0942	40	0.1059	292.5	420.00	TRUE	2.1200	1.0700	3.180	TRUE	1.770	TRUE	-0.0042	TRUE	0.0671	TRUE	0.8790	FALSE	-0.0320	TRUE	0.8775	667570.000	0.5413	0.3133	195.2642	2.1229	1.1816	430.4795	4.6801	2.6050	20.7660	0.2258	0.1257	NA	NA	NA	NA	cover
2020-03-05	TRUE	MOS1	EOF	MOS	CCMT	0.0913	40	0.1097	460.0	842.00	TRUE	1.3000	2.0300	3.340	TRUE	3.130	TRUE	-0.0139	TRUE	0.0884	TRUE	0.1210	FALSE	-0.0317	TRUE	0.1195	325831.000	0.2642	0.1649	149.8823	1.0883	1.0199	330.4304	2.3992	2.2484	17.1831	0.1248	0.1169	NA	NA	NA	NA	cover
2020-03-05	TRUE	MOS2	EOF	MOS	FBM	0.0954	40	0.1141	467.5	815.00	TRUE	1.5500	1.5700	3.120	TRUE	2.700	TRUE	-0.0081	TRUE	0.0315	TRUE	0.3820	FALSE	-0.0370	TRUE	0.3805	82189.000	0.0666	0.0415	38.4234	0.2564	0.2219	84.7081	0.5653	0.4892	4.3981	0.0294	0.0254	NA	NA	NA	NA	cover
2020-03-05	TRUE	MUR1	EOF	MUR	CCMT	0.0962	40	0.1203	602.5	912.00	TRUE	4.4700	1.5800	6.060	TRUE	3.490	TRUE	0.0106	TRUE	0.1010	TRUE	2.4500	FALSE	-0.0307	TRUE	2.4250	1517929.000	1.2308	0.7757	914.5522	9.1986	5.2976	2016.2218	20.2793	11.6790	105.8940	1.0651	0.6134	NA	NA	NA	NA	cover
2020-03-05	TRUE	MUR2	EOF	MUR	FBM	0.0923	40	0.1233	775.0	1406.00	TRUE	4.4100	1.4300	5.840	TRUE	3.780	TRUE	0.0338	TRUE	0.0827	TRUE	2.4500	FALSE	-0.0276	TRUE	2.4250	11920.000	0.0097	0.0071	9.2380	0.0696	0.0451	20.3661	0.1535	0.0993	1.2626	0.0095	0.0062	NA	NA	NA	NA	cover
2020-03-05	TRUE	PB	INST	NA	NA	0.0942	40	0.1136	485.0	972.00	TRUE	2.2900	1.1900	3.480	TRUE	3.270	TRUE	-0.0039	TRUE	0.0870	TRUE	0.5540	FALSE	-0.0330	TRUE	0.5525	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	9.40	97.8	865.6	17.4	cover
2020-03-05	TRUE	PBR1	EOF	PBR	CCMT	0.0938	40	0.1023	212.5	231.00	TRUE	0.6410	1.0500	1.690	TRUE	1.630	TRUE	-0.0306	TRUE	0.0737	TRUE	0.0594	FALSE	-0.0316	TRUE	0.0579	883190.000	0.7161	0.1640	187.6779	1.4926	1.4396	413.7546	3.2906	3.1737	7.8976	0.0628	0.0606	NA	NA	NA	NA	cover
2020-03-05	TRUE	PBR2	EOF	PBR	FBM	0.0950	40	0.1027	192.5	248.00	TRUE	0.5730	1.2800	1.850	TRUE	1.620	TRUE	-0.0186	TRUE	0.0281	TRUE	0.1040	FALSE	-0.0361	TRUE	0.1025	94386.000	0.0765	0.0384	18.1693	0.1746	0.1529	40.0560	0.3850	0.3371	1.6767	0.0161	0.0141	NA	NA	NA	NA	cover
2020-03-05	TRUE	SIM1	EOF	SIM	CCMT	0.0962	40	0.1002	100.0	177.00	TRUE	0.6720	0.7660	1.440	TRUE	0.719	TRUE	0.0051	TRUE	0.0102	TRUE	0.0945	FALSE	-0.0333	TRUE	0.0695	712603.000	0.5778	0.4852	71.2603	1.0261	0.5124	157.1005	2.2622	1.1296	10.9937	0.1583	0.0790	NA	NA	NA	NA	cover
2020-03-05	TRUE	SIM2	EOF	SIM	FBM	0.0924	40	0.1039	287.5	509.00	TRUE	1.5600	0.7030	2.260	TRUE	1.130	TRUE	0.0136	TRUE	0.0091	TRUE	0.6360	FALSE	-0.0344	TRUE	0.6110	819814.000	0.6647	0.4535	235.6965	1.8528	0.9264	519.6166	4.0846	2.0423	29.5405	0.2322	0.1161	NA	NA	NA	NA	cover
2020-03-05	TRUE	STU1	EOF	STU	CCMT	0.0943	40	0.1082	347.5	643.00	TRUE	1.3300	0.6440	1.980	TRUE	2.280	TRUE	-0.0246	TRUE	0.0625	TRUE	0.0353	FALSE	-0.0316	TRUE	0.0338	868843.000	0.7045	0.2821	301.9229	1.7203	1.9810	665.6193	3.7926	4.3672	22.2095	0.1265	0.1457	NA	NA	NA	NA	cover
2020-03-05	TRUE	STU2	EOF	STU	FBM	0.0969	40	0.1287	795.0	864.00	TRUE	1.7400	2.1100	3.840	TRUE	3.900	TRUE	-0.0250	TRUE	0.0612	TRUE	0.2550	FALSE	-0.0321	TRUE	0.2535	131119.000	0.1063	0.0805	104.2396	0.5035	0.5114	229.8066	1.1100	1.1274	14.4988	0.0700	0.0711	NA	NA	NA	NA	cover
2020-03-10	TRUE	ARR1	EOF	ARR	CCMT	0.0916	40	0.1070	385.0	483.00	TRUE	1.0800	1.4300	2.500	TRUE	2.140	TRUE	0.2700	TRUE	0.0168	TRUE	0.0417	FALSE	-0.0219	TRUE	0.0402	63574.000	0.0515	0.0789	24.4760	0.1589	0.1360	53.9598	0.3504	0.2999	6.8826	0.0447	0.0383	NA	NA	NA	NA	cover
2020-03-10	TRUE	DCDC1	EOF	DCDC	CCMT	0.0924	40	0.0988	160.0	266.00	TRUE	0.7660	1.1800	1.950	TRUE	1.630	TRUE	-0.0271	TRUE	0.1090	TRUE	0.1860	FALSE	-0.0326	TRUE	0.1845	360865.000	0.2926	0.1727	57.7384	0.7037	0.5882	127.2901	1.5513	1.2968	6.2612	0.0763	0.0638	NA	NA	NA	NA	cover
2020-03-10	TRUE	DCDC2	EOF	DCDC	FBM	0.0935	40	0.1043	270.0	402.00	TRUE	1.4600	1.0900	2.540	TRUE	1.880	TRUE	-0.0263	TRUE	0.0749	TRUE	0.5020	FALSE	-0.0338	TRUE	0.5005	545401.000	0.4422	0.2560	147.2583	1.3853	1.0254	324.6456	3.0541	2.2605	15.6607	0.1473	0.1090	NA	NA	NA	NA	cover
2020-03-10	TRUE	MOS1	EOF	MOS	CCMT	0.0921	40	0.1017	240.0	384.00	TRUE	0.7930	1.3800	2.170	TRUE	2.360	TRUE	0.0123	TRUE	0.1280	TRUE	0.0357	FALSE	-0.0317	TRUE	0.0342	326572.000	0.2648	0.1652	78.3773	0.7087	0.7707	172.7906	1.5623	1.6991	8.9855	0.0812	0.0884	NA	NA	NA	NA	cover
2020-03-10	TRUE	MOS2	EOF	MOS	FBM	0.0947	40	0.1090	357.5	518.00	TRUE	0.9360	1.3300	2.270	TRUE	2.000	TRUE	-0.0315	TRUE	0.0356	TRUE	0.1630	FALSE	-0.0320	TRUE	0.1615	22553.000	0.0183	0.0114	8.0627	0.0512	0.0451	17.7750	0.1129	0.0994	0.9229	0.0059	0.0052	NA	NA	NA	NA	cover
2020-03-10	TRUE	PBR1	EOF	PBR	CCMT	0.0926	40	0.0994	170.0	157.00	TRUE	0.5380	0.6440	1.180	TRUE	1.370	TRUE	-0.0172	TRUE	0.0997	TRUE	0.0373	FALSE	-0.0302	TRUE	0.0358	307367.000	0.2492	0.0571	52.2524	0.3627	0.4211	115.1956	0.7996	0.9283	2.1988	0.0153	0.0177	NA	NA	NA	NA	cover
2020-03-10	TRUE	PBR2	EOF	PBR	FBM	0.0915	40	0.1044	322.5	346.00	TRUE	0.5220	1.6800	2.200	TRUE	1.940	TRUE	-0.0225	TRUE	0.0335	TRUE	0.0290	FALSE	-0.0315	TRUE	0.0275	40670.000	0.0330	0.0166	13.1161	0.0895	0.0789	28.9157	0.1973	0.1739	1.2104	0.0083	0.0073	NA	NA	NA	NA	cover
2020-03-10	TRUE	STU1	EOF	STU	CCMT	0.0930	40	0.1052	305.0	468.00	TRUE	1.0800	0.2410	1.320	TRUE	1.970	TRUE	-0.0174	TRUE	0.1080	TRUE	0.0356	FALSE	-0.0325	TRUE	0.0341	271959.000	0.2205	0.0883	82.9475	0.3590	0.5358	182.8660	0.7914	1.1811	6.1016	0.0264	0.0394	NA	NA	NA	NA	cover
2020-03-10	TRUE	STU2	EOF	STU	FBM	0.0948	40	0.1296	870.0	882.00	TRUE	1.1700	1.0500	2.220	TRUE	3.060	TRUE	-0.0187	TRUE	0.0384	TRUE	0.1160	FALSE	-0.0312	TRUE	0.1145	17776.000	0.0144	0.0109	15.4651	0.0395	0.0544	34.0944	0.0870	0.1199	2.1511	0.0055	0.0076	NA	NA	NA	NA	cover
2020-03-12	TRUE	MUR1	EOF	MUR	CCMT	0.0928	40	0.1144	540.0	865.00	TRUE	3.4800	1.7400	5.220	TRUE	3.550	TRUE	0.0118	TRUE	0.1170	TRUE	1.4400	FALSE	-0.0310	TRUE	1.4150	97219.000	0.0788	0.0497	52.4983	0.5075	0.3451	115.7377	1.1188	0.7609	6.0787	0.0588	0.0400	NA	NA	NA	NA	cover
2020-03-12	TRUE	MUR2	EOF	MUR	FBM	0.0924	40	0.1208	710.0	952.00	TRUE	2.9800	0.1330	3.110	TRUE	3.970	TRUE	-0.0099	TRUE	0.0844	TRUE	0.9920	FALSE	-0.0310	TRUE	0.9670	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	cover
2020-03-12	TRUE	SIM1	EOF	SIM	CCMT	0.0922	40	0.0940	45.0	70.10	TRUE	2.1200	1.5800	3.710	TRUE	0.694	TRUE	0.0409	TRUE	0.0170	TRUE	1.1900	FALSE	-0.0319	TRUE	1.1650	65977.000	0.0535	0.0449	2.9690	0.2448	0.0458	6.5454	0.5396	0.1009	0.4580	0.0378	0.0071	NA	NA	NA	NA	cover

2 Quality Assurance

Next we want to evaluate all the controls we put in place to make sure our data is sound. These included labratory standards and standard operating procedures. If the minimum amount of quality objectives (80%) were not met for for each sampling trip the values will be dropped and not considered for analysis.

2.1 Standard checks

First, we will evaluate the logical for the overall trip objectives.

conc <- c(10,11,13:15,17,19,21,23,25,27,31:39)
cat(paste0("`", names(dat[conc]), "`   "), sep = "", fill = TRUE)

TSS.mgl TUR.ntu NO3.NO2.mgl TKN.mgl TN.mgl TIP.mgl
NH3.mgl OrthoP.mgl NOx.mgl NO2.mgl NO3.mgl TSS.kg
TN.kg TIP.kg TSS.lb TN.lb TIP.lb TSS.lbac TN.lbac
TIP.lbac

for (i in conc) {
  dat[,i] <- ifelse(
    dat[,2] == FALSE,
    NA,
    dat[,i]
  )
}

This will replace concentration and load data in the above columns with “NA” where the logical in column “qaqc.check” equals “FALSE” for their respective records.

After that we are going to evaluate the the labratory standards used during each analysis batch. Here the code looks to in the individual analytes and their respective logical checks. Generally this is in the neighboring column. The exception is the NO3.mgl column; this checks against the NOx.mgl standard.

logic <- c(12, 16, 18, 20, 22, 24, 26)
for (i in logic) {
  dat[,i - 1] <- ifelse(
    dat[,i] == FALSE,
    NA,
    dat[,i - 1]
  )
}

dat[,27] <- ifelse(
  dat[,24] == FALSE,
  NA,
  dat[,27]
)

This step leaves us with a data set where any nutrient concentration values which don’t meet our quality standard are omitted. This step is then repeated to omit loads which are associated with these omitted records.

# replace tss loads
for (i in c(21, 24, 27)) { 
  dat[,10 + i] <- ifelse(
    is.na(dat[,10]) == TRUE,
    NA,
    dat[,10 + i]
  )
}
# replace tn loads
for (i in c(17, 20, 23)) { 
  dat[,15 + i] <- ifelse(
    is.na(dat[,15]) == TRUE,
    NA,
    dat[,15 + i]
  )
}
# replace tip loads
for (i in c(16, 19, 22)) { 
  dat[,17 + i] <- ifelse(
    is.na(dat[,17]) == TRUE,
    NA,
    dat[,17 + i]
  )
}

We then remove the logical columns in our next little bit of housekeeping.

dat <- dat %>% 
  select(-c(2, 12, 16, 18, 20, 22, 24, 26))

rm(conc, i, logic)

2.2 Impute missing values

Now that we have omitted values that were not up to our quality standards we will use a correlation method to impute those values missing from our data set.

Sediment bound and associated nutrients are grouped together.

impdat <-
  mice(
    data = dat[,c(9, 10, 14)],
    m = 5,
    maxit = 50,
    method = 'pmm',
    seed = 1234,
    printFlag = FALSE
  )

set.seed(1234)  # set seed for random imputed dataset selection
compdat <- complete(impdat, round(runif(1, 1, 5), 0))
# randomly select imputed dataset and combine with complete dataset

# inspect imputed data
# imputed datasets in magenta; observed in blue. are values plausible?
#stripplot(impdat)
# do imputed points fall in likely area of distrib.?

dat[,c(9, 10, 14)] <- compdat[,1:ncol(compdat)]

Orthophosphate is grouped with Total Inorganic Phosphorus

impdat <-
  mice(
    data = dat[,c(14, 16)],
    m = 5,
    maxit = 50,
    method = 'pmm',
    seed = 1234,
    printFlag = FALSE
  )

set.seed(1234)  # set seed for random imputed dataset selection
compdat <- complete(impdat, round(runif(1, 1, 5), 0))
# randomly select imputed dataset and combine with complete dataset

# inspect imputed data
# imputed datasets in magenta; observed in blue. are values plausible?
#stripplot(impdat)
# do imputed points fall in likely area of distrib.?

dat[,c(14, 16)] <- compdat[,1:ncol(compdat)]

Nitrogen and associated complexes grouped together.

#PerformanceAnalytics::chart.Correlation(dat[,c(11:13, 15, 17:19)])
#PerformanceAnalytics::chart.Correlation(dat[,c(11:12, 15, 17)])
# NO3NO2 - NOx - NO3
# TKN - TN
# NH3 - TN
# NOx - NO3NO2
# NO3 - NOx
 
impdat <-
  mice(
    data = dat[,c(11:12, 15, 17)],
    m = 5,
    maxit = 50,
    method = 'pmm',
    seed = 1234,
    printFlag = FALSE
  )
 
#summary(impdat)
 
set.seed(1234)  # set seed for random imputed dataset selection
compdat <- complete(impdat, round(runif(1, 1, 5), 0))
 
dat[,c(11:12, 15, 17)] <- compdat[,1:ncol(compdat)]
 
# ..TN ------------------------------------------------------------
 
#PerformanceAnalytics::chart.Correlation(dat[,c(11:13, 15, 17:19)])

impdat <-
  mice(
    data = dat[,c(11:13, 15, 17)],
    m = 5,
    maxit = 50,
    method = 'pmm',
    seed = 1234,
    printFlag = FALSE
  )
 
#summary(impdat)
 
set.seed(1234)  # set seed for random imputed dataset selection
compdat <- complete(impdat, round(runif(1, 1, 5), 0))

dat[,13] <- compdat$TN.mgl
 
# NO3 ------------------------------------------
 
#PerformanceAnalytics::chart.Correlation(dat[,c(11:12, 15, 17, 19)])
 
impdat <-
  mice(
    data = dat[,c(11:12, 15, 19)],
    m = 5,
    maxit = 50,
    method = 'pmm',
    seed = 1234,
    printFlag = FALSE
  )
 
#summary(impdat)
 
set.seed(1234)  # set seed for random imputed dataset selection
compdat <- complete(impdat, round(runif(1, 1, 5), 0))

# inspect imputed data
# imputed datasets in magenta; observed in blue. are values plausible?
stripplot(impdat)

  # do imputed points fall in likely area of distrib.?
 
dat[,c(11:12, 15, 19)] <- compdat[,1:ncol(compdat)]

This should leave us with a data set that has values removed for QA then imputed based on their correlation to other analytes in the data set.

2.3 Method detection limits

Here we want to correct any concentration values that are below our method detection limits. When less than 5% of the data set, values below our method detection limits are replaced with half the MDL.

if (sum(dat$TSS.mgl < 5, na.rm = TRUE) / sum(!is.na(dat$TSS.mgl)) < 0.05) {
  print("Less than 5% of TSS values are below MDL")
  print(sum(dat$TSS.mgl < 5, na.rm = TRUE) / sum(!is.na(dat$TSS.mgl)) *100)
  dat <- dat %>% mutate(TSS.mgl = replace(TSS.mgl, TSS.mgl < 5, 5/2))
} else {
  print("More than 5% of TSS values are below MDL and")
  print("the values have remained unchanged")
  print(dat %>% count(TSS.mgl < 5))
  print(sum(dat$TSS.mgl < 5, na.rm = TRUE) / sum(!is.na(dat$TSS.mgl)) *100)}

## [1] "Less than 5% of TSS values are below MDL"
## [1] 0.6147541

## [1] "Less than 5% of TUR values are below MDL"
## [1] 0

## [1] "Less than 5% of NO3.NO2 values are below MDL"
## [1] 2.04918

## [1] "Less than 5% of TN values are below MDL"
## [1] 4.508197

## [1] "Less than 5% of TIP values are below MDL"
## [1] 0

## [1] "More than 5% of NH3 values are below MDL and"
## [1] "the values have remained unchanged"
##   NH3.mgl < 0.01   n
## 1          FALSE 403
## 2           TRUE  85
## [1] 17.41803

## [1] "Less than 5% of Ortho Phosphorus values are below MDL"
## [1] 2.868852

## [1] "Less than 5% of NOx values are below MDL"
## [1] 4.303279

## [1] "More than 5% of NO2 values are below MDL and"
## [1] "the values have remained unchanged"
##   NO2.mgl < 0.05   n
## 1          FALSE  27
## 2           TRUE 359
## 3             NA 102
## [1] 93.00518

## [1] "5% of NO3 values are below MDL"
## [1] 4.713115

Here we can see that most of our nitrite values are illogical and as such we will not be evaluating them henceforth. Further, ‘NO3.mgl’ is a calculated value based on these illogical ‘NO2.mgl’ values. We will only consider combined nitrate-nitrate as ‘NOx.mgl’ which was directly measured and generally met the standard outlined in the lachat operating procedure.

Here we need to make another round of imputed values for the large number of NH3 values that were either negative or below the method detection limit (16%). For this case we imputed values based on correlation to other variables rather than substituting 1/2 of the method detection limit. Further, we need to clean up the 9 illogical TKN values that are < 0.

#NH3 ---------------
 
dat$NH3.mgl <-
  ifelse(
    dat$NH3.mgl < .01,
    NA,
    dat$NH3.mgl
  )
 
impdat <-
  mice(
    data = dat[,c(11:13, 15, 17)],
    m = 5,
    maxit = 50,
    method = 'pmm',
    seed = 1234,
    printFlag = FALSE
  )
 
set.seed(1234)  # set seed for random imputed dataset selection
compdat <- complete(impdat, round(runif(1, 1, 5), 0))
  # randomly select imputed dataset and combine with complete dataset
 
# inspect imputed data
# imputed datasets in magenta; observed in blue. are values plausible?
# stripplot(impdat)
  # do imputed points fall in likely area of distrib.?
 
dat[,c(11:13, 15, 17)] <- compdat[,1:ncol(compdat)]
 
# TKN-------------------
print(
  paste(
    sum(dat$TKN.mgl < 0, na.rm = TRUE) / sum(!is.na(dat$TKN.mgl)) *100,
    "% of TKN values are below 0"
  )
)

## [1] "1.84426229508197 % of TKN values are below 0"

dat$TKN.mgl <-
  ifelse(
    dat$TKN.mgl <= 0,
    NA,
    dat$TKN.mgl
  )
 
#summary(dat$TKN.mgl)
 
impdat <-
  mice(
    data = dat[,c(11:13, 15, 17)],
    m = 5,
    maxit = 50,
    method = 'pmm',
    seed = 1234,
    printFlag = FALSE
  )
 
set.seed(1234)  # set seed for random imputed dataset selection
compdat <- complete(impdat, round(runif(1, 1, 5), 0))
  # randomly select imputed dataset and combine with complete dataset
 
# inspect imputed data
# imputed datasets in magenta; observed in blue. are values plausible?
stripplot(impdat)

  # do imputed points fall in likely area of distrib.?
 
dat[,c(11:13, 15, 17)] <- compdat[,1:ncol(compdat)]

2.4 Calculate loads

Now that we’ve fixed any of our observations that were below our method detection limits we can calculate loads such that they will reflect those changes.

#removes loads that were previously calculated in excel
dat <- dat[-c(22:31)]

#introduces the area of the fields to the data set
a <- as.data.frame(cbind(c("ARR1", "ARR2",  "PBR1", "PBR2", "STU1", "STU2", "MOS1", "MOS2", "DCDC1",
             "DCDC2", "SCH1", "SCH2", "PRE1", "PRE2", "MUZ1", "MUZ2", "SIM1", "SIM2", "MUR1", "MUR2", "CAR1", "CAR2"),
          c(14.55, 15.48, 52.39, 23.89, 73.04, 34.24, 19.23, 19.26, 20.33,
            20.73, 10.38, 9.12, 36.62, 37.37, 19.29, 17.83, 14.29, 17.59, 19.04, 16.13, 22.36, 23.4)))
a <- as.data.frame(a) %>% 
  transform(V2= as.numeric(as.character(V2)))

dat <- merge(
  dat,
  a,
  by.x = "sampleid",
  by.y = "V1",
  all.x = TRUE,
  all.y = FALSE
)
names(dat)[names(dat) == "V2"] <- "acres"

# change acres where we switched fields
dat[dat$sampleid == "ARR1",]$acres <-
  ifelse(
    dat[dat$sampleid == "ARR1",]$Date >="2019-10-18",
    7.84, # New field size
    14.55   # old field size
  )

dat[dat$sampleid == "ARR2",]$acres <-
  ifelse(
    dat[dat$sampleid == "ARR2",]$Date >="2019-10-18",
    6.94, # New field size
    15.48   # old field size
  )

dat[dat$sampleid == "STU1",]$acres <-
  ifelse(
    dat[dat$sampleid == "STU1",]$Date >="2019-12-5",
    29.97, # New field size
    73.04   # old field size
  )

dat[dat$sampleid == "STU2",]$acres <-
  ifelse(
    dat[dat$sampleid == "STU2",]$Date >="2019-12-5",
    15.85, # New field size
    34.24   # old field size
  )

#rearrange columns so subsequent code doesn't get thrown off 
dat <- dat[c(2,1,3:27)]

###calculate loads
dat$in.runoff.ac <- dat$acft.discharge * 12 / dat$acres
dat$TSS.kg <- dat$TSS.mgl * dat$event.disch.l / 1000000
dat$TN.kg <- dat$TN.mgl * dat$event.disch.l / 1000000
dat$TIP.kg <- dat$TIP.mgl * dat$event.disch.l / 1000000
dat$TSS.lb <- dat$TSS.kg * 2.2046
dat$TN.lb <- dat$TN.kg * 2.2046
dat$TIP.lb <- dat$TIP.kg * 2.2046
dat$TSS.lbac <- dat$TSS.lb / dat$acres
dat$TN.lbac <- dat$TN.lb / dat$acres
dat$TIP.lbac <- dat$TIP.lb / dat$acres

#rearrange columns
dat <- dat[c(1:21,28:37,22:27)]

Now the data set has loads that reflect our changes resulting from our quality assurance, both MDL and standards.

3 The paired event data frame

This project is based on a paired field design. In preparation for later analysis we want to create another data frame that contains only events where the sampler on the treatment and the control field both sampled. We want to do this after QA so the dat.pair reflects any changes we made above.

dupedates <- function(data) {
  filter(data,
         duplicated(Date)|duplicated(Date, fromLast = TRUE) == TRUE
  )
}                                                               

'%=%' = function(l, r, ...) UseMethod('%=%')                                                    

'%=%.lbunch' = function(l, r, ...) {
  Envir = as.environment(-1)
  
  if (length(r) > length(l))
    warning("RHS has more args than LHS. Only first", length(l), "used.")
  
  if (length(l) > length(r))  {
    warning("LHS has more args than RHS. RHS will be repeated.")
    r <- extendToMatch(r, l)
  }
  
  for (II in 1:length(l)) {
    do.call('<-', list(l[[II]], r[[II]]), envir=Envir)
  }
} 

#....Grouping the left hand side
g = function(...) {
  List = as.list(substitute(list(...)))[-1L]
  class(List) = 'lbunch'
  return(List)
}

#....Assigning and finding duplicate dates
g(arr, car, dcdc, mos, mur, muz, sch, sim, stu, pbr, pre) %=% list(
  subset(dat, farm == "ARR") %>% 
    dupedates(),
  subset(dat, farm == "CAR") %>% 
    dupedates(),
  subset(dat, farm == "DCDC") %>% 
    dupedates(),
  subset(dat, farm == "MOS") %>% 
    dupedates(),
  subset(dat, farm == "MUR") %>% 
    dupedates(),
  subset(dat, farm == "MUZ") %>% 
    dupedates(),
  subset(dat, farm == "SCH") %>% 
    dupedates(),
  subset(dat, farm == "SIM") %>% 
    dupedates(),
  subset(dat, farm == "STU") %>% 
    dupedates(),
  subset(dat, farm == "PBR") %>% 
    dupedates(),
  subset(dat, farm == "PRE") %>% 
    dupedates()
)

#..Combining all of the these into one data frame and cleaning the environment
dat.pair <- rbind(arr, car, dcdc, mos, mur, muz, sch, sim, stu, pbr, pre)
  # Combines all the individual farm data frames into
rm(arr, car, dcdc, mos, mur, muz, sch, sim, stu, pbr, pre)
  # removes the farm data frames

and how about a looksy

dat.pair <- dat.pair[ order(dat.pair$Date, dat.pair$sampleid),]
kable(tail(dat.pair[,c(1:5,9:11)]), caption = "Table 3.1: Example of 'dat.pair'") %>% 
  kable_paper() %>% 
  remove_column(1)

Table 3.1: Example of ‘dat.pair’

Date	sampleid	sample.type	farm	treatment	TSS.mgl	TUR.ntu	NO3.NO2.mgl
2020-03-10	PBR1	EOF	PBR	CCMT	170.0	157	0.538
2020-03-10	PBR2	EOF	PBR	FBM	322.5	346	0.522
2020-03-10	STU1	EOF	STU	CCMT	305.0	468	1.080
2020-03-10	STU2	EOF	STU	FBM	870.0	882	1.170
2020-03-12	MUR1	EOF	MUR	CCMT	540.0	865	3.480
2020-03-12	MUR2	EOF	MUR	FBM	710.0	952	2.980

As you can see the data frame, dat.pair contains only records where samples were collected for both the treatment and control.

4 Reduction Potential

The next step we are going to tackle is calculating the reduction potential (or increase!) of the treatment. We do this by reducing the paired events into one record then subtracting the treatment value from the value of the control field. (FBM-CCMT) This difference is then considered relative to the control value as a percent reduction. +Positive values represent a reduction -Negative values represent negative reduction, ie an increase relative to the control.

# Now we use the paired dataframe to create this reduction potential dataframe.

# Here we create the new data frame and change the format of the paired data
# from a "long" format into a "wide" format so instead of every sample having
# its own row, the sample pairs each have their own row.
dat.reduct <- dat.pair %>% 
  pivot_wider(
    id_cols = c(Date, farm, season),
    names_from = treatment,
    names_sep = ".",
    # this is where you can add or remove columns you want to see.
    values_from = names(dat.pair[,c(9:31)])
  ) %>% 
  as.data.frame()

# This is the difference code.
for (i in 4:48) {
  if (i %% 2 == 0) {  
    dat.reduct[,ncol(dat.reduct) + 1] <- dat.reduct[,i + 1] - dat.reduct[,i]
    # This names the column from where the data was taken. 
    names(dat.reduct)[ncol(dat.reduct)] <- names(dat.reduct)[i]
    # the name is changed by replaceing "CCMT" with "dif" in the column title
    names(dat.reduct)[ncol(dat.reduct)] <- gsub(
      pattern = "CCMT",
      replacement = "dif",
      x = names(dat.reduct)[ncol(dat.reduct)]
    )
    # Then it moves to find the percent reduction in the same way as above. 
    dat.reduct[,ncol(dat.reduct) + 1] <- dat.reduct[,ncol(dat.reduct)] / dat.reduct[,i + 1] * 100
    names(dat.reduct)[ncol(dat.reduct)] <- names(dat.reduct)[i]
    names(dat.reduct)[ncol(dat.reduct)] <- gsub(
      pattern = "CCMT",
      replacement = "per",
      x = names(dat.reduct)[ncol(dat.reduct)]
    )
  }
}

kable(tail(dat.reduct[c(1,2,4,5,50,51,6,7,52,53)]), caption = "Table 4.1: Example of 'dat.reduct'", digits = 3) %>% 
  kable_paper() %>% remove_column(1)

Table 4.1: Example of ‘dat.reduct’

Date	farm	TSS.mgl.CCMT	TSS.mgl.FBM	TSS.mgl.dif	TSS.mgl.per	TUR.ntu.CCMT	TUR.ntu.FBM	TUR.ntu.dif	TUR.ntu.per
2020-03-05	STU	347.5	795.0	447.5	56.289	643	864	221	25.579
2020-03-10	DCDC	160.0	270.0	110.0	40.741	266	402	136	33.831
2020-03-10	MOS	240.0	357.5	117.5	32.867	384	518	134	25.869
2020-03-10	PBR	170.0	322.5	152.5	47.287	157	346	189	54.624
2020-03-10	STU	305.0	870.0	565.0	64.943	468	882	414	46.939
2020-03-12	MUR	540.0	710.0	170.0	23.944	865	952	87	9.139

Now we have new columns with a .dif and .per suffix. These represent absolute difference and relative reduction respectively.
We will come back to these reduction potential and paired data frames in just a moment when we start to summarize and visualize our data.

5 Data summary

We now have much data to consider. Lets start with the basic stuff.

5.1 n=

# total number of samples
length(dat$sampleid)

## [1] 488

# number of samples by type: Edge-of-Field
dat$sample.type[dat$sample.type == "EOF"] %>% length()

## [1] 442

# number of samples by type: Instream
dat$sample.type[dat$sample.type == "INST"] %>% length()

## [1] 46

# number of samples by treatment: Cover Crop - Minimum Tillage
length(dat$treatment[!is.na(dat$treatment) & dat$treatment == "CCMT"])

## [1] 243

# number of samples by treatment: Farmer Best Management
length(dat$treatment[!is.na(dat$treatment) & dat$treatment == "FBM"])

## [1] 199

# number of EOF samples by season
length(dat$season[dat$sample.type == "EOF" & dat$season == "cover"])

## [1] 273

length(dat$season[dat$sample.type == "EOF" & dat$season == "cash"])

## [1] 169

# number of paired sample events
length(dat.pair$sampleid)/2

## [1] 158

# during the cover crop season
length(dat.pair$sampleid[dat.pair$season == "cover"])/2

## [1] 101

# during the cash crop season
length(dat.pair$sampleid[dat.pair$season == "cash"])/2

## [1] 57

dat$month <- month(dat$Date)
dat$year <- year(dat$Date)
df <- table(dat$year, dat$month)
  kable(df, col.names = c("Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sept",
        "Oct", "Nov", "Dec"), caption = "Table 5.1 : Samples collected by month") %>% 
    kable_paper()

Table 5.1 : Samples collected by month

	Jan	Feb	Mar	Apr	May	Jun	Jul	Aug	Sept	Oct	Nov	Dec
2018	0	45	27	10	15	11	26	0	11	4	7	6
2019	10	0	18	21	14	39	12	23	1	29	12	30
2020	46	42	29	0	0	0	0	0	0	0	0	0

5.2 Edge of Field samples

Lets take a look at some summary statistics for the analytes.

df <- list()

for(i in 9:17) {
  df1 <- mosaic::favstats(dat[dat$sample.type == "EOF",i])
  df1$i <- names(dat[i])
  df[[i -8]] <- df1
}
df <- do.call(
  rbind,
  df
)
df <- df[,c(10,1:9)]
knitr::kable(df, caption = "Table 5.2: Statistical summary of nutrient concentrations (EOF only)", digits = 4,
            col.names = c('Analyte', 'min', 'Q1', 'Median', 'Q3', 'max', 'mean', 'std dev.', 'n=', 'na') ) %>% 
  kable_paper() %>% 
  remove_column(1)

Table 5.2: Statistical summary of nutrient concentrations (EOF only)

Analyte	min	Q1	Median	Q3	max	mean	std dev.	n=	na
TSS.mgl	2.5000	270.5000	630.0000	1480.6250	11212.00	1339.9326	1866.3768	442	0
TUR.ntu	9.2300	252.5000	816.5000	1902.5000	10340.00	1568.3602	2145.8004	442	0
NO3.NO2.mgl	0.1150	1.0100	2.0650	3.7075	36.50	3.1639	3.6227	442	0
TKN.mgl	0.0270	0.7198	1.2600	2.4050	169.00	2.6503	9.1090	442	0
TN.mgl	0.5000	2.1075	3.5100	6.1250	181.00	5.7916	10.6983	442	0
TIP.mgl	0.0750	1.8725	3.2900	5.4150	49.50	4.8574	5.1151	442	0
NH3.mgl	0.0102	0.0442	0.0946	0.2445	16.30	0.3922	1.2452	442	0
OrthoP.mgl	0.0050	0.0754	0.1530	0.2977	7.02	0.3060	0.5369	442	0
NOx.mgl	0.0035	0.1430	0.4275	1.3025	30.90	1.4738	2.8758	442	0

Table 5.3: Statistical summary of nutrient concentrations from paired events (EOF only)

Analyte	min	Q1	Median	Q3	max	mean	std dev.	n=	na
TSS.mgl	19.0000	285.1250	630.0000	1616.8750	11212.00	1333.1367	1831.0265	316	0
TUR.ntu	9.2300	265.0000	819.5000	1752.5000	10340.00	1586.4333	2158.9337	316	0
NO3.NO2.mgl	0.1150	0.9228	1.7850	3.5950	36.50	2.9533	3.5559	316	0
TKN.mgl	0.0320	0.6988	1.2550	2.5175	169.00	2.9396	10.6948	316	0
TN.mgl	0.5000	1.9475	3.2900	6.0525	181.00	5.8660	12.2658	316	0
TIP.mgl	0.2000	1.8575	3.2200	5.4400	21.20	4.6288	4.2038	316	0
NH3.mgl	0.0102	0.0403	0.0834	0.1977	16.30	0.3411	1.3305	316	0
OrthoP.mgl	0.0050	0.0716	0.1400	0.2580	2.39	0.2475	0.3408	316	0
NOx.mgl	0.0035	0.1280	0.3295	1.1550	30.90	1.4051	3.0194	316	0

and this same code can be run again to utilize dat.treatment as a factor.

df <- list()

for(i in c(9:17,22,29,30,31)) {
  df1 <- mosaic::favstats(dat[i] ~ dat$treatment)
  df1$i <- names(dat[i])
  df[[i -8]] <- df1
}
df <- do.call(
  rbind,
  df
)
df <- df[,c(11,1:10)]
knitr::kable(df, caption = "Table 5.4: Statistical summary of analytes by treatment (EOF only)", digits = 4,
             col.names = c('Analyte', 'Treatment', 'min', 'Q1', 'Median', 'Q3', 'max', 'mean', 'std dev.', 'n=', 'na')) %>% 
  kable_paper() %>% 
  collapse_rows(1)

Table 5.4: Statistical summary of analytes by treatment (EOF only)

Analyte	Treatment	min	Q1	Median	Q3	max	mean	std dev.	n=	na
TSS.mgl	CCMT	2.5000	206.7500	492.0000	1130.0000	11056.7000	1240.0519	1928.7611	243	0
	FBM	2.5000	377.5000	835.0000	1960.0000	11212.0000	1461.8975	1784.4862	199	0
TUR.ntu	CCMT	9.2300	184.5000	639.0000	1393.5000	9900.0000	1390.0697	2152.9275	243	0
	FBM	9.2300	436.0000	952.0000	2240.6500	10340.0000	1786.0717	2122.1731	199	0
NO3.NO2.mgl	CCMT	0.1150	0.9355	1.8800	3.7850	36.5000	3.2769	4.2602	243	0
	FBM	0.1150	1.2200	2.3000	3.6550	16.3000	3.0260	2.6484	199	0
TKN.mgl	CCMT	0.0320	0.7605	1.2300	2.2500	169.0000	2.8411	11.6290	243	0
	FBM	0.0270	0.6810	1.2700	2.5700	45.5000	2.4173	4.4071	199	0
TN.mgl	CCMT	0.5000	1.9300	3.3400	6.0650	181.0000	6.1093	13.4641	243	0
	FBM	0.5000	2.4000	3.8100	6.2950	48.6000	5.4037	5.7514	199	0
TIP.mgl	CCMT	0.0750	1.7200	3.0100	4.3700	49.5000	4.5371	5.4589	243	0
	FBM	0.2000	2.0300	3.7800	7.0350	27.5000	5.2486	4.6446	199	0
NH3.mgl	CCMT	0.0102	0.0482	0.1000	0.2700	16.3000	0.4322	1.4139	243	0
	FBM	0.0106	0.0421	0.0834	0.2400	10.3000	0.3434	1.0027	199	0
OrthoP.mgl	CCMT	0.0050	0.0804	0.1590	0.3740	7.0200	0.3524	0.6503	243	0
	FBM	0.0050	0.0746	0.1430	0.2535	2.3900	0.2492	0.3455	199	0
NOx.mgl	CCMT	0.0035	0.1225	0.3590	1.4800	30.9000	1.5910	3.2663	243	0
	FBM	0.0035	0.1990	0.4560	1.2100	13.2000	1.3306	2.3115	199	0
in.runoff.ac	CCMT	0.0006	0.0737	0.2643	0.6593	3.6195	0.4633	0.5702	224	19
	FBM	0.0006	0.0599	0.2950	0.7238	4.3362	0.5213	0.6598	174	25
TSS.lbac	CCMT	0.0032	7.1584	22.3401	76.0629	3213.3356	110.3339	303.7929	224	19
	FBM	0.0027	9.4347	38.6530	128.5319	2633.0275	192.3576	432.5642	174	25
TN.lbac	CCMT	0.0008	0.0545	0.1515	0.5091	20.8095	0.5543	1.5854	224	19
	FBM	0.0010	0.0404	0.2271	0.6875	10.8072	0.7067	1.4067	174	25
TIP.lbac	CCMT	0.0003	0.0493	0.1323	0.4041	11.1513	0.4358	0.9738	224	19
	FBM	0.0007	0.0473	0.1846	0.5464	8.8128	0.6542	1.2569	174	25

Table 5.5: Statistical summary of analytes by treatment from paired events only (EOF only)

Analyte	Treatment	min	Q1	Median	Q3	max	mean	std dev.	n=	na
TSS.mgl	CCMT	35.0000	216.0000	488.5000	1135.0000	11056.7000	1263.1044	1978.4335	158	0
	FBM	19.0000	351.8750	811.2500	1962.5000	11212.0000	1403.1690	1674.0968	158	0
TUR.ntu	CCMT	11.2000	191.0000	669.5000	1315.0000	9730.0000	1394.8975	2124.7912	158	0
	FBM	9.2300	360.0000	912.5000	2340.0000	10340.0000	1777.9692	2182.4528	158	0
NO3.NO2.mgl	CCMT	0.1150	0.8330	1.5450	3.4275	36.5000	3.0174	4.2941	158	0
	FBM	0.1150	1.1600	2.1050	3.6050	16.3000	2.8892	2.6310	158	0
TKN.mgl	CCMT	0.0961	0.7598	1.1700	2.5625	169.0000	3.4819	14.3585	158	0
	FBM	0.0320	0.6795	1.2750	2.4275	45.5000	2.3972	4.7675	158	0
TN.mgl	CCMT	0.5000	1.8050	3.0100	6.0575	181.0000	6.4816	16.2719	158	0
	FBM	0.5000	2.3025	3.6850	5.9775	48.6000	5.2504	6.0266	158	0
TIP.mgl	CCMT	0.4710	1.6975	2.9150	4.3750	19.4000	4.1592	4.1765	158	0
	FBM	0.2000	2.0525	3.8550	7.0800	21.2000	5.0983	4.1916	158	0
NH3.mgl	CCMT	0.0102	0.0473	0.0920	0.2220	16.3000	0.3983	1.6070	158	0
	FBM	0.0106	0.0383	0.0753	0.1937	10.3000	0.2839	0.9812	158	0
OrthoP.mgl	CCMT	0.0050	0.0739	0.1395	0.2960	2.3900	0.2530	0.3266	158	0
	FBM	0.0050	0.0711	0.1400	0.2332	2.3900	0.2420	0.3553	158	0
NOx.mgl	CCMT	0.0035	0.0969	0.2840	1.1700	30.9000	1.4615	3.5045	158	0
	FBM	0.0035	0.1768	0.3935	1.1100	13.2000	1.3486	2.4503	158	0
in.runoff.ac	CCMT	0.0038	0.1069	0.3292	0.7454	3.6195	0.5199	0.5764	147	11
	FBM	0.0006	0.0670	0.2950	0.6821	3.2288	0.4844	0.5685	136	22
TSS.lbac	CCMT	0.4688	8.6006	36.7931	93.5945	3213.3356	125.0021	321.3694	147	11
	FBM	0.3733	9.3144	40.2174	115.1128	2536.3548	171.3839	381.7160	136	22
TN.lbac	CCMT	0.0061	0.0610	0.1584	0.5771	20.8095	0.6718	1.9156	147	11
	FBM	0.0010	0.0427	0.2271	0.5877	8.9791	0.6050	1.1611	136	22
TIP.lbac	CCMT	0.0037	0.0628	0.1597	0.4664	11.1513	0.4833	1.0796	147	11
	FBM	0.0010	0.0490	0.1907	0.5023	7.1915	0.5842	1.0310	136	22

While we have imputed any missing values for nutrient concentration, nutrient loads will still have some na values that result from missing data from our ultrasonic velocity meter which calculates discharge.

5.3 Instream samples

Lets have a look at the summary stats of nutrient concentrations for specifically the instream monitoring sites.

df <- list()

for(i in c(9:17,32,33,35)) {
  df1 <- mosaic::favstats(dat[dat$sample.type == "INST",i])
  df1$i <- names(dat[i])
  df[[i -8]] <- df1
}
df <- do.call(
  rbind,
  df
)
df <- df[,c(10,1:9)]
knitr::kable(df, caption = "Table 5.6: Statistical summary of nutrient concentrations at instream monitoring sites (INST only)", digits = 2,
            col.names = c('Analyte', 'min', 'Q1', 'Median', 'Q3', 'max', 'mean', 'std dev.', 'n=', 'na') ) %>% 
  kable_paper() %>% 
  remove_column(1)

Table 5.6: Statistical summary of nutrient concentrations at instream monitoring sites (INST only)

Analyte	min	Q1	Median	Q3	max	mean	std dev.	n=	na
TSS.mgl	2.50	38.45	105.65	235.98	1385.70	195.23	248.21	46	0
TUR.ntu	11.20	59.95	167.50	447.75	2280.00	332.16	427.44	46	0
NO3.NO2.mgl	0.47	0.72	1.13	1.92	7.68	1.59	1.37	46	0
TKN.mgl	0.04	0.45	0.61	0.84	2.96	0.76	0.59	46	0
TN.mgl	0.50	1.39	1.75	2.73	8.95	2.35	1.75	46	0
TIP.mgl	0.56	1.15	1.62	2.48	4.64	1.87	0.96	46	0
NH3.mgl	0.02	0.06	0.13	0.24	1.59	0.23	0.31	46	0
OrthoP.mgl	0.04	0.14	0.24	0.47	1.37	0.35	0.31	46	0
NOx.mgl	0.00	0.11	0.34	1.00	8.79	0.84	1.45	46	0
dissolvedO2.mg.l	5.19	7.00	8.90	10.12	13.38	8.89	2.26	46	0
dissolvedO2.sat.per	57.10	74.80	85.25	93.47	175.40	85.98	18.73	46	0
watertemp.c	1.60	8.65	14.10	20.62	34.90	15.34	8.98	46	0

df <- list()

for(i in c(9:17,32,33,35)) {
  df1 <- mosaic::favstats(dat[dat$sample.type == "INST",i] ~ dat$sampleid[dat$sample.type == "INST"])
  df1$i <- names(dat[i])
  df[[i -8]] <- df1
}
df <- do.call(
  rbind,
  df
)

df <- df[,c(11,1:10)]
df <- remove_missing(df)
knitr::kable(df, caption = "Table 5.7: Statistical summary of nutrient concentrations at instream monitoring sites (Harris Bayou tributary and Porter Bayou)", digits = 2,
            col.names = c('Analyte','site', 'min', 'Q1', 'Median', 'Q3', 'max',
                          'mean', 'std dev.', 'n=', 'na') 
            ) %>% 
  kable_paper() %>% 
  remove_column(1) %>% 
  collapse_rows(1)

Table 5.7: Statistical summary of nutrient concentrations at instream monitoring sites (Harris Bayou tributary and Porter Bayou)

Analyte	site	min	Q1	Median	Q3	max	mean	std dev.	n=	na
TSS.mgl	HB	2.50	20.25	39.40	73.12	179.50	53.78	46.20	22	0
	PB	37.00	168.00	235.65	457.25	1385.70	324.90	286.20	24	0
TUR.ntu	HB	11.20	32.42	58.55	96.40	246.00	78.37	66.08	22	0
	PB	69.60	257.25	426.50	779.50	2280.00	564.80	485.18	24	0
NO3.NO2.mgl	HB	0.54	0.62	0.73	1.14	7.68	1.31	1.69	22	0
	PB	0.47	1.00	1.71	2.37	4.23	1.85	0.95	24	0
TKN.mgl	HB	0.12	0.43	0.61	0.77	1.27	0.60	0.27	22	0
	PB	0.04	0.46	0.64	1.17	2.96	0.91	0.76	24	0
TN.mgl	HB	0.50	1.15	1.46	1.60	8.95	1.87	1.87	22	0
	PB	0.50	1.83	2.62	3.21	7.19	2.79	1.53	24	0
TIP.mgl	HB	0.56	1.01	1.21	1.76	3.08	1.43	0.69	22	0
	PB	0.82	1.57	2.04	3.05	4.64	2.27	1.02	24	0
NH3.mgl	HB	0.02	0.05	0.11	0.17	1.59	0.18	0.32	22	0
	PB	0.02	0.08	0.21	0.30	1.15	0.28	0.30	24	0
OrthoP.mgl	HB	0.04	0.17	0.27	0.52	1.37	0.41	0.36	22	0
	PB	0.05	0.13	0.19	0.37	0.96	0.29	0.25	24	0
NOx.mgl	HB	0.00	0.07	0.11	0.39	8.79	0.78	1.96	22	0
	PB	0.00	0.28	0.71	1.17	3.00	0.90	0.77	24	0
dissolvedO2.mg.l	HB	5.19	7.35	9.05	11.31	13.38	9.28	2.44	22	0
	PB	5.71	7.02	8.32	9.74	13.03	8.54	2.07	24	0
dissolvedO2.sat.per	HB	62.80	82.00	87.55	93.47	100.20	85.40	11.65	22	0
	PB	57.10	74.25	83.05	92.67	175.40	86.52	23.70	24	0
watertemp.c	HB	1.60	8.45	13.20	18.50	27.30	13.57	7.81	22	0
	PB	4.00	9.65	15.35	24.82	34.90	16.95	9.82	24	0

df <- list()

for(i in 9:17) {
  df1 <- mosaic::favstats(dat[i] ~ dat$sample.type)
  df1$i <- names(dat[i])
  df[[i -8]] <- df1
}
df <- do.call(
  rbind,
  df
)
df <- df[,c(11,1:10)]
knitr::kable(df, caption = "Table 5.8: Comparing nutrients concentration vaules between our sample types (Edge of Field and Instream)", digits = 4,
             col.names = c('Analyte', 'Treatment', 'min', 'Q1', 'Median', 'Q3', 'max', 'mean', 'std dev.', 'n=', 'na')) %>% 
  kable_paper() %>% 
  collapse_rows(1)

Table 5.8: Comparing nutrients concentration vaules between our sample types (Edge of Field and Instream)

Analyte	Treatment	min	Q1	Median	Q3	max	mean	std dev.	n=	na
TSS.mgl	EOF	2.5000	270.5000	630.0000	1480.6250	11212.00	1339.9326	1866.3768	442	0
	INST	2.5000	38.4500	105.6500	235.9750	1385.70	195.2304	248.2139	46	0
TUR.ntu	EOF	9.2300	252.5000	816.5000	1902.5000	10340.00	1568.3602	2145.8004	442	0
	INST	11.2000	59.9500	167.5000	447.7500	2280.00	332.1630	427.4404	46	0
NO3.NO2.mgl	EOF	0.1150	1.0100	2.0650	3.7075	36.50	3.1639	3.6227	442	0
	INST	0.4660	0.7220	1.1300	1.9175	7.68	1.5937	1.3655	46	0
TKN.mgl	EOF	0.0270	0.7198	1.2600	2.4050	169.00	2.6503	9.1090	442	0
	INST	0.0428	0.4510	0.6115	0.8420	2.96	0.7629	0.5940	46	0
TN.mgl	EOF	0.5000	2.1075	3.5100	6.1250	181.00	5.7916	10.6983	442	0
	INST	0.5000	1.3850	1.7550	2.7325	8.95	2.3498	1.7457	46	0
TIP.mgl	EOF	0.0750	1.8725	3.2900	5.4150	49.50	4.8574	5.1151	442	0
	INST	0.5550	1.1525	1.6200	2.4825	4.64	1.8682	0.9621	46	0
NH3.mgl	EOF	0.0102	0.0442	0.0946	0.2445	16.30	0.3922	1.2452	442	0
	INST	0.0163	0.0606	0.1320	0.2422	1.59	0.2322	0.3111	46	0
OrthoP.mgl	EOF	0.0050	0.0754	0.1530	0.2977	7.02	0.3060	0.5369	442	0
	INST	0.0433	0.1445	0.2360	0.4655	1.37	0.3497	0.3082	46	0
NOx.mgl	EOF	0.0035	0.1430	0.4275	1.3025	30.90	1.4738	2.8758	442	0
	INST	0.0035	0.1052	0.3370	1.0005	8.79	0.8408	1.4496	46	0

6 Visualization

6.1 Sample Locations

Here are a few maps that illustrate where our sampling locations are relative to the MS Delta and the Big Sunflower river. Skelton and the usgs sites are where there is ongoing sampling the others were included in the DeltaFARM and NIFA projects.

Porter Bayou near Shaw, MS

6.2 Concentration Distributions

6.2.1 Normality

Is our data normally distributed? I would guess not but lets make sure. Log transformed data shown with normal curve in red.

for(i in c(9:17, 20:22)) {
  d1 <- ggdensity(dat[dat$sample.type == "EOF", i],
                xlab = names(dat[i]))
  d2 <- ggdensity(log(dat[dat$sample.type == "EOF", i]),
                xlab = paste("log transformed", names(dat[i]))) +
    stat_overlay_normal_density(color="red")
print(d1)
print(d2)
  }

Figure 6.1: Density plot to asses normality

Although we can see from the distrubutions, lets run a normality test on the various analyte distributions for verification.

df <- list()

for(i in c(9:17, 20:22)) {
  df1 <-shapiro.test(dat[dat$sample.type == "EOF",i])
  df1$i <- names(dat[i])
  df[[i -8]] <- df1
}
df <- data.frame(matrix(unlist(df), nrow = 12, byrow = T), stringsAsFactors = FALSE)
  
df <- df[,c(3,5,1,2)]
kable(df, digits = 5, caption = "Table 6.1: Shapiro-Wilk normality test results", col.names = c("Test","Analyte", "Test Statistic", "P-value")) %>% 
  kable_paper() %>% 
  collapse_rows(1)

Table 6.1: Shapiro-Wilk normality test results

Test	Analyte	Test Statistic	P-value
Shapiro-Wilk normality test	TSS.mgl	0.660096482233668	9.42162292687065e-29
	TUR.ntu	0.681094814405459	5.09830639247152e-28
	NO3.NO2.mgl	0.667718809245423	1.72220324984397e-28
	TKN.mgl	0.166886521534146	4.0179470787522e-40
	TN.mgl	0.320699738099478	2.32736118788988e-37
	TIP.mgl	0.687953491789984	9.01893123687923e-28
	NH3.mgl	0.278670484640589	3.67204715630481e-38
	OrthoP.mgl	0.468963239901255	3.65748051409427e-34
	NOx.mgl	0.516329848703278	5.45558665488862e-33
	event.disch.l	0.753397619608873	6.02409696855267e-24
	acft.discharge	0.753397619579854	6.02409695148469e-24
	in.runoff.ac	0.747059562806752	3.26402338579999e-24

None of the anlayte values follow a normal distribution.

6.2.2 Anlayte concentrations by treatment and across time

Tables 5.2-8 nicely summarize our variable distributions yet plotting these can prove more meaningful, or at least better illustrate them. Here we want to understand several factors that we have established already: entire data, paired data points, and events that occured during our cover crop season, as well as paired events during the cover season. As we have established that our data in non-normal, i went ahead and superimposed the results for a two sided rank sum test. A p-value less than 0.05 would indicate that we can reject the null hypothesis that these samples are from the same population. In lower plot a black bar represents the median value and blue line is a locally smoothed regression line to aid in seeing trend over time. (method= loess())

p1 <- ggplot(dat[dat$sample.type == "EOF",], 
             aes(y= TSS.mgl, x= "All year", colour= treatment))+
  geom_boxplot(outlier.shape = NA )+
  coord_cartesian(ylim= c(0,5000))+
  stat_compare_means(
    aes(label = paste0(..method.., "\n", "p =", ..p.format..)),
    label.y = 3800)+
  theme(axis.title.x = element_blank())

p2 <- ggplot(dat.pair[dat.pair$sample.type == "EOF",], 
             aes(y= TSS.mgl, x= " paired All year", colour= treatment))+
  geom_boxplot(outlier.shape = NA)+
  coord_cartesian(ylim= c(0,5000))+
  stat_compare_means(
    aes(label = paste0(..method.., "\n", "p =", ..p.format..)),
    label.y = 3800)+
  theme(axis.title.y = element_blank(), axis.title.x = element_blank())

p3 <- ggplot(dat[dat$sample.type == "EOF" & dat$season == "cover",], 
             aes(y= TSS.mgl, x= "Cover season", colour= treatment))+
  geom_boxplot(outlier.shape = NA)+
  coord_cartesian(ylim= c(0,5000))+
  stat_compare_means(
    aes(label = paste0(..method.., "\n", "p =", ..p.format..)),
    label.y = 3800)+
  theme(axis.title.y = element_blank(), axis.title.x = element_blank())

p4 <- ggplot(dat.pair[dat.pair$sample.type == "EOF" & dat.pair$season == "cover",], 
             aes(y= TSS.mgl, x= "paired Cover season", colour= treatment))+
  geom_boxplot(outlier.shape = NA)+
  coord_cartesian(ylim= c(0,5000))+
  stat_compare_means(
    aes(label = paste0(..method.., "\n", "p =", ..p.format..)),
    label.y = 3800)+
  theme(axis.title.y = element_blank(), axis.title.x = element_blank())

p5 <- ggplot(dat[dat$sample.type == "EOF",], aes(Date, TSS.mgl))+
  geom_point()+
  stat_smooth(span = 0.3)+
  geom_hline(data = dat, yintercept = median(dat$TSS.mgl, na.rm= T))+
  scale_x_date(date_labels = "%m-%Y", date_breaks= "2 months")+
  rotate_x_text(angle = 45)

(p1 | p2 | p3 | p4) / p5 +
  plot_layout(guides = 'collect')+
  plot_annotation(title = 'Total Suspended Solids (milligrams / liter)',
                  caption = 'Some outliers may be omitted from visualization')

Figure 6.2

Figure 6.3

Figure 6.4

Figure 6.5

Figure 6.6

Figure 6.7

Figure 6.8

Figure 6.9

Figure 6.10

Instream concentrations across time

response = names(dat)[c(9:14,16,32,33,35)]
response = set_names(response)
scatter_fun = function (y) {
  ggplot(dat[dat$sample.type == "INST",],
         aes(x = Date, y = .data[[y]]))+
    geom_point()+
     scale_x_date(date_labels = "%m-%Y", date_breaks= "2 months")+
    rotate_x_text(angle = 45)+
    geom_smooth(span= 1)
  }

inst_plots <- map(response, ~scatter_fun(.x))
inst_plots

Figure 6.11: Instream nutrient concentrations across time

6.2.3 Analyte by site and treatment

dats <- filter(dat, dat$sample.type == "EOF")

analyteplot <- function(analyte,Title,Ylab = "mg/L",Ylimt) {
  ggplot()+ 
    geom_boxplot(data = dats, 
                 aes(x = sampleid, 
                     y = analyte, 
                     fill= farm)
    )+
    labs(title = Title, 
         caption = "Some values may be omitted from vizualization. \n Suffix (1) is the treatment CCMT, suffix (2) is the control FBM")+
    ylab(Ylab)+
    xlab("Site")+
    coord_cartesian(ylim= c(0,Ylimt))+
    theme_bw()+
    theme(axis.text.x = element_text(angle = 45, hjust = 1),
          plot.caption = element_text(face= "italic"))
  
}


analyteplot(dats$TSS.mgl,"Total suspended solids","mg/L", 10000)

Figure 6.12

Figure 6.13

Figure 6.14

Figure 6.15

Figure 6.16

Figure 6.17

Figure 6.18

Figure 6.19

Figure 6.20

Figure 6.21

Figure 6.22

Figure 6.23

Figure 6.24

6.3 Reduction Potential Distributions

Here we can evaluate the distribution of reduction potentials. Each paired event produces a reduction (or increase) value for all the respective analytes. See section 4: Reduction Potential for explanation on how we produced these values. Again, (+) values represent a reduction relative to the control and (-) values represent negative reduction, i.e. an increase in concentrations on the treatment plots. The nature of the calculation allows for extremely negative numbers and a maximum reduction of 100%. (fbm - ccmt)/fbm If there was no nutrient in ccmt runnoff that would represent a 100% reduction. Conversely if the concentrations are higher on the ccmt treatment our (-) reduction can increase infinitely.

df <- list()

for(i in c(51,53,55,57,59,61,63,65,67,77,93,95)) {
  df1 <- mosaic::favstats(dat.reduct[,i])
  df1$i <- names(dat.reduct[i])
  df[[i -8]] <- df1
}
df <- do.call(
  rbind,
  df
)
df <- df[c(10,1:9)]
knitr::kable(df, caption = "Table 6.1: Statistical summary of reduction potentials from paired events only", digits = 2 ,
             col.names = c("Analyte", "min","Q1","median","Q3","max","mean","sd","n=", "NA")) %>% 
  kable_paper() %>% 
  remove_column(1)

Table 6.1: Statistical summary of reduction potentials from paired events only

Analyte	min	Q1	median	Q3	max	mean	sd	n=	NA
TSS.mgl.per	-8029.93	-9.19	35.22	58.99	99.37	-128.09	839.56	158	0
TUR.ntu.per	-5295.52	1.73	36.43	62.59	98.93	-104.99	642.03	158	0
NO3.NO2.mgl.per	-4604.35	-11.20	23.84	46.08	93.44	-76.33	458.47	158	0
TKN.mgl.per	-2962.50	-110.96	-3.63	44.69	95.32	-97.78	324.63	158	0
TN.mgl.per	-790.71	-9.23	14.35	41.07	94.64	-21.73	131.03	158	0
TIP.mgl.per	-857.67	-5.02	24.24	44.50	94.81	-2.71	115.02	158	0
NH3.mgl.per	-16746.15	-137.70	-26.87	36.44	92.46	-199.36	1341.05	158	0
OrthoP.mgl.per	-1202.39	-95.21	-4.88	34.46	91.17	-60.65	172.17	158	0
NOx.mgl.per	-23414.29	-117.26	10.76	67.92	99.77	-381.63	2178.48	158	0
in.runoff.ac.per	-10688.04	-163.90	-16.30	28.84	94.88	-229.85	996.60	134	24
TN.lbac.per	-11094.44	-105.49	-8.95	35.99	97.70	-214.13	1015.18	134	24
TIP.lbac.per	-9860.39	-89.87	-3.09	43.18	96.18	-189.81	940.32	134	24

for (i in c(51,53,55,57,59,61,63,65,67,77,93,95)){

rd <- boxplot(dat.reduct[,i], outline= FALSE, na.rm= T, main = names(dat.reduct[i]) , ylab = "(+) represents reduction from treatment")
rdmean <- with(rd, stats[3,], names)
text(1, rdmean, paste(round(rdmean,0)), pos = 3)

}

Figure 6.24: Reduction potential boxplots